1 code implementation • ACL 2022 • Yongqi Li, Wenjie Li, Liqiang Nie
In this paper, we hence define a novel research task, i. e., multimodal conversational question answering (MMCoQA), aiming to answer users’ questions with multimodal knowledge sources via multi-turn conversations.
no code implementations • Findings (EMNLP) 2021 • Feiteng Mu, Wenjie Li, Zhipeng Xie
Given an input cause sentence, a causal subgraph is retrieved from the event causality network and is encoded with the graph attention mechanism, in order to support better reasoning of the potential effects.
no code implementations • EMNLP 2021 • Ruifeng Yuan, Zili Wang, Wenjie Li
Sentence fusion is a conditional generation task that merges several related sentences into a coherent one, which can be deemed as a summary sentence.
no code implementations • 17 Jun 2025 • Siyu Xu, Wenjie Li, Guangwei Gao, Jian Yang, Guo-Jun Qi, Chia-Wen Lin
Face super-resolution (FSR) under limited computational costs remains an open problem.
1 code implementation • 27 May 2025 • Hanlin Wang, Chak Tou Leong, Jiashuo Wang, Jian Wang, Wenjie Li
In this work, we draw on the insight that the ultimate completion of a task emerges from the cumulative progress an agent makes across individual steps.
1 code implementation • 25 May 2025 • Yang Xiao, Jiashuo Wang, Ruifeng Yuan, Chunpu Xu, Kaishuai Xu, Wenjie Li, PengFei Liu
Large language models (LLMs) have demonstrated remarkable reasoning capabilities through test-time scaling approaches, particularly when fine-tuned with chain-of-thought (CoT) data distilled from more powerful large reasoning models (LRMs).
1 code implementation • 23 May 2025 • Yang Xiao, Jiashuo Wang, Qiancheng Xu, Changhe Song, Chunpu Xu, Yi Cheng, Wenjie Li, PengFei Liu
As Large Language Models (LLMs) increasingly participate in human-AI interactions, evaluating their Theory of Mind (ToM) capabilities - particularly their ability to track dynamic mental states - becomes crucial.
1 code implementation • 22 May 2025 • Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie
To address these issues, we propose \name, a unified large recommender model with intrinsic reasoning capabilities.
1 code implementation • 22 May 2025 • Xinghao Chen, Anhao Zhao, Heming Xia, Xuan Lu, Hanlin Wang, Yanjun Chen, Wei zhang, Jian Wang, Wenjie Li, Xiaoyu Shen
By decoupling reasoning from language, latent reasoning promises richer cognitive representations and more flexible, faster inference.
no code implementations • 22 May 2025 • Mingbo Song, Heming Xia, Jun Zhang, Chak Tou Leong, Qiancheng Xu, Wenjie Li, Sujian Li
Speculative Decoding (SD) has emerged as a widely used paradigm to accelerate the inference of large language models (LLMs) without compromising generation quality.
1 code implementation • 20 May 2025 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Heng Li, Yan Hu, Wenjie Li, Jiang Liu
Previous approaches have attempted to utilize multimodal LLMs for this task, enhancing their performance through the integration of domain-specific knowledge retrieval.
no code implementations • 24 Apr 2025 • Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
Traditional time-series forecasting often focuses only on minimizing prediction errors, ignoring the specific requirements of real-world applications that employ them.
1 code implementation • 17 Apr 2025 • Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, YuFei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, YuTing Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, YuBo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, XinCao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Hang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Nguyen Pham Hoang Le, An Dinh Thien, Son T. Luu, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan
This paper reviews the NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images.
no code implementations • 12 Apr 2025 • Wenjie Li, Sibo Zhu, Zhijian Li, Hanlin Wang
This paper introduces a novel oversampling technique designed to improve classification performance on imbalanced datasets.
1 code implementation • 24 Mar 2025 • Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua
Generative retrieval has emerged as a novel paradigm that leverages large language models (LLMs) to autoregressively generate document identifiers.
no code implementations • 18 Mar 2025 • Yongqi Li, Lu Yang, Jian Wang, Runyang You, Wenjie Li, Liqiang Nie
Additionally, applying BPO to the MMSafe-PO dataset greatly reduces the base MLLM's unsafe rate on other safety benchmarks (14. 5% on MM-SafetyBench and 82. 9% on HarmEval, demonstrating the effectiveness and robustness of both the dataset and the approach.
no code implementations • 13 Mar 2025 • Wenjie Li, Heng Guo, Yuefeng Hou, Zhanyu Ma
Image super-resolution (SR) aims to recover low-resolution images to high-resolution images, where improving SR efficiency is a high-profile challenge.
no code implementations • 13 Mar 2025 • Wenjie Li, Heng Guo, Yuefeng Hou, Guangwei Gao, Zhanyu Ma
Lightweight image super-resolution (SR) aims to reconstruct high-resolution images from low-resolution images with limited computational costs.
no code implementations • 8 Mar 2025 • Yanjun Chen, Yirong Sun, Xinghao Chen, Jian Wang, Xiaoyu Shen, Wenjie Li, Wei zhang
Chain-of-Thought (CoT) reasoning has proven effective in natural language tasks but remains underexplored in multimodal alignment.
no code implementations • 1 Mar 2025 • Heming Xia, Cunxiao Du, Yongqi Li, Qian Liu, Wenjie Li
This tutorial presents a comprehensive introduction to Speculative Decoding (SD), an advanced technique for LLM inference acceleration that has garnered significant research interest in recent years.
no code implementations • 26 Feb 2025 • Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li
Large Language Models (LLMs) are being used more and more extensively for automated evaluation in various scenarios.
no code implementations • 26 Feb 2025 • Qiancheng Xu, Yongqi Li, Heming Xia, Fan Liu, Min Yang, Wenjie Li
To address the limitation, we first formulate the task of personalized tool learning, which integrates user's interaction history towards personalized tool usage.
1 code implementation • 25 Feb 2025 • Xinghao Chen, Zhijing Sun, Wenjin Guo, Miaoran Zhang, Yanjun Chen, Yirong Sun, Hui Su, Yijie Pan, Dietrich Klakow, Wenjie Li, Xiaoyu Shen
Large Language Models (LLMs) excel in reasoning tasks through Chain-of-Thought (CoT) prompting.
1 code implementation • 20 Feb 2025 • Hanlin Wang, Jian Wang, Chak Tou Leong, Wenjie Li
To address this, we highlight the importance of timely calibration and the need to automatically construct calibration trajectories for training agents.
1 code implementation • 20 Feb 2025 • Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui
Recently, LLMs have garnered increasing attention across academic disciplines for their potential as human digital twins, virtual proxies designed to replicate individuals and autonomously perform tasks such as decision-making, problem-solving, and reasoning on their behalf.
no code implementations • 19 Feb 2025 • Chak Tou Leong, Qingyu Yin, Jian Wang, Wenjie Li
The safety alignment of large language models (LLMs) remains vulnerable, as their initial behavior can be easily jailbroken by even relatively simple attacks.
no code implementations • 19 Feb 2025 • Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Yixin Yang, Qingxiu Dong, Weiyao Luo, Yifan Pu, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui
Our evaluation of $16$ state-of-the-art LMMs, including GPT-4o and Qwen2. 5VL, reveals a significant performance gap compared to human capabilities, particularly in tasks that require reordering shuffled sequential images.
1 code implementation • 18 Feb 2025 • Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang
In this work, we introduce the text-image interleaved retrieval (TIIR) task, where the query and document are interleaved text-image sequences, and the model is required to understand the semantics from the interleaved context for effective retrieval.
1 code implementation • 18 Feb 2025 • Jian Wang, Yinpei Dai, Yichi Zhang, Ziqiao Ma, Wenjie Li, Joyce Chai
Intelligent tutoring agents powered by large language models (LLMs) have been increasingly explored to deliver personalized guidance in areas such as language learning and science education.
1 code implementation • 17 Feb 2025 • Heming Xia, Yongqi Li, Chak Tou Leong, Wenjie Wang, Wenjie Li
Chain-of-Thought (CoT) has been proven effective in enhancing the reasoning capabilities of large language models (LLMs).
1 code implementation • 30 Jan 2025 • Siyuan Jiang, Yihan Hu, Wenjie Li, Pengcheng Zeng
Functional data - observations in the form of curves or trajectories - arise in diverse domains such as biomedical sensing, motion capture, and handwriting recognition.
no code implementations • 23 Jan 2025 • Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang
We introduce Sigma, an efficient large language model specialized for the system domain, empowered by a novel architecture including DiffQKV attention, and pre-trained on our meticulously collected system domain data.
no code implementations • 14 Jan 2025 • Feiteng Mu, Liwen Zhang, Yong Jiang, Wenjie Li, Zhen Zhang, Pengjun Xie, Fei Huang
This evaluation enables the decision of the most suitable search engine for a given query.
no code implementations • CVPR 2025 • Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang
Last, we provide in-depth analyses of model scaling and training strategies, and perform ablation studies on both the model and synthetic data.
no code implementations • 22 Dec 2024 • Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang
Last, we provide in-depth analyses of model scaling and training strategies, and perform ablation studies on both the model and synthetic data.
no code implementations • CVPR 2025 • Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li
Chain-of-Thought (CoT) prompting elicits large language models (LLMs) to produce a series of intermediate reasoning steps before arriving at the final answer.
1 code implementation • 20 Nov 2024 • Wenjie Li, Jiawei Li, Christian Schroeder de Witt, Ameya Prabhu, Amartya Sanyal
State-of-the-art influence functions, such as EK-FAC, often fail to accurately attribute abnormal model behavior to the specific poisoned training data responsible for the data poisoning attack.
no code implementations • 17 Nov 2024 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Yan Hu, Wenjie Li, Jiang Liu
DM directly assists in answering the question, while IM enhances understanding of the surgical scene beyond the immediate query.
no code implementations • 12 Nov 2024 • Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
The alignment of large language models (LLMs) with human preferences remains a key challenge.
1 code implementation • 22 Oct 2024 • Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua
To overcome the limitation, we first formulate the task of LLM-empowered personalized Web agents, which integrate personalized data and user instructions to personalize instruction comprehension and action execution.
1 code implementation • 9 Oct 2024 • Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li
While this technique has achieved notable speedups, most existing approaches necessitate either additional parameters or extensive training to construct effective draft models, thereby restricting their applicability across different LLMs and tasks.
no code implementations • 9 Oct 2024 • Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li
In this work, we propose a novel preference learning framework called eRror-Injected Self-Editing (RISE), which injects predefined subtle errors into partial tokens of correct solutions to construct hard pairs for error mitigation.
1 code implementation • 2 Oct 2024 • Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
Self-consistency-based approaches, which involve repeatedly sampling multiple outputs and selecting the most consistent one as the final response, prove to be remarkably effective in improving the factual accuracy of large language models.
1 code implementation • 30 Sep 2024 • Dasong Li, Wenjie Li, Baili Lu, Hongsheng Li, Sizhuo Ma, Gurunandan Krishnan, Jian Wang
Understanding and modeling the popularity of User Generated Content (UGC) short videos on social media platforms presents a critical challenge with broad implications for content creators and recommendation systems.
no code implementations • 5 Sep 2024 • Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li
Language models are exhibiting increasing capability in knowledge utilization and reasoning.
no code implementations • 1 Sep 2024 • Xujie Wan, Wenjie Li, Guangwei Gao, Huimin Lu, Jian Yang, Chia-Wen Lin
Recently, CNN and Transformer hybrid networks demonstrated excellent performance in face super-resolution (FSR) tasks.
1 code implementation • 13 Aug 2024 • Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, PengFei Liu
The rapid growth of scientific literature imposes significant challenges for researchers endeavoring to stay updated with the latest advancements in their fields and delve into new areas.
1 code implementation • 29 Jul 2024 • Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo
Previous methods typically employ an encoder-decoder structure to extract facial structural features, where the direct downsampling inevitably introduces distortions, especially to high-frequency features such as edges.
no code implementations • 29 Jul 2024 • Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang
We first introduce a text encoder (base size) enhanced with RoPE and unpadding, pre-trained in a native 8192-token context (longer than 512 of previous multilingual encoders).
no code implementations • 24 Jul 2024 • Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua
Despite its great potential, existing generative approaches are limited due to the following issues: insufficient visual information in identifiers, misalignment with high-level semantics, and learning gap towards the retrieval target.
1 code implementation • 25 Jun 2024 • Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li
To address the above issues, we propose to enhance tool retrieval with iterative feedback from the large language model.
1 code implementation • 20 Jun 2024 • Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li
We propose a novel framework, Emulation, designed to generate an appropriate response that relies on abductive and deductive diagnostic reasoning analyses and aligns with clinician preferences through thought process modeling.
no code implementations • 19 Jun 2024 • Wenjie Li, Tianyu Sun, Kun Qian, Wenhong Wang
The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems.
1 code implementation • 18 Jun 2024 • Jiashuo Wang, Yang Xiao, Yanran Li, Changhe Song, Chunpu Xu, Chenhao Tan, Wenjie Li
To this end, we adopt LLMs to simulate clients and propose ClientCAST, a client-centered approach to assessing LLM therapists by client simulation.
no code implementations • 18 Jun 2024 • Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang
Current research on tool learning primarily focuses on selecting the most effective tool from a wide array of options, often overlooking cost-effectiveness, a crucial factor in human problem-solving.
no code implementations • 11 Jun 2024 • Jun Gao, Qian Qiao, Ziqiang Cao, Zili Wang, Wenjie Li
In-context learning (ICL) facilitates Large Language Models (LLMs) exhibiting emergent ability on downstream tasks without updating billions of parameters.
1 code implementation • 10 Jun 2024 • Shijie Lian, Ziyi Zhang, Hua Li, Wenjie Li, Laurence Tianruo Yang, Sam Kwong, Runmin Cong
Underwater salient instance segmentation is a foundational and vital step for various underwater vision tasks, which often suffer from low segmentation accuracy due to the complex underwater circumstances and the adaptive ability of models.
2 code implementations • 7 Jun 2024 • Anthony Costarelli, Mat Allen, Roman Hauksson, Grace Sodunke, Suhas Hariharan, Carlson Cheng, Wenjie Li, Joshua Clymer, Arjun Yadav
Despite several demonstrations of using large language models in complex, strategic scenarios, there lacks a comprehensive framework for evaluating agents' performance across various types of reasoning found in games.
no code implementations • 1 Jun 2024 • Shichao Sun, Ruifeng Yuan, Ziqiang Cao, Wenjie Li, PengFei Liu
Two strategies are designed to perform this iterative process: Prompt Chaining and Stepwise Prompt.
no code implementations • 29 May 2024 • Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
Federated Learning (FL) is a promising privacy-preserving machine learning paradigm that allows data owners to collaboratively train models while keeping their data localized.
no code implementations • 27 May 2024 • Jun Gao, Ziqiang Cao, Wenjie Li
In this paper, we propose an ICL framework UniICL, which Unifies demonstration selection and compression, and final response generation via a single frozen LLM.
no code implementations • 27 May 2024 • Jun Gao, Ziqiang Cao, Wenjie Li
This paper proposes a Self-Compressor (SelfCP), which employs the target LLM itself to compress over-limit prompts into dense vectors while keeping the allowed prompts unmodified.
no code implementations • 25 May 2024 • Chak Tou Leong, Yi Cheng, Kaishuai Xu, Jian Wang, Hanlin Wang, Wenjie Li
In particular, we analyze the two most representative types of attack approaches: Explicit Harmful Attack (EHA) and Identity-Shifting Attack (ISA).
1 code implementation • 14 May 2024 • Yihong Chen, Zhen Fan, Shuai Dong, Zhiwei Chen, Wenjie Li, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
Here, we propose a simple yet efficient stereo image SR model called NAFRSSR, which is modified from the previous state-of-the-art model NAFSSR by introducing recursive connections and lightweighting the constituent modules.
no code implementations • 25 Apr 2024 • Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
With the information explosion on the Web, search and recommendation are foundational infrastructures to satisfying users' information needs.
no code implementations • 5 Apr 2024 • Zhihao Guan, Jia-Qi Yang, Yang Yang, HengShu Zhu, Wenjie Li, Hui Xiong
Moreover, we adopt a two-stage learning strategy for skill-aware recommendation, in which we utilize the skill distribution to guide JD representation learning in the recall stage, and then combine the user profiles for final prediction in the ranking stage.
1 code implementation • 10 Mar 2024 • Jian Wang, Dongding Lin, Wenjie Li
Inspired by decision-making theories in cognitive science, we propose a novel target-constrained bidirectional planning (TRIP) approach, which plans an appropriate dialogue path by looking ahead and looking back.
1 code implementation • 20 Feb 2024 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Yan Hu, Wenjie Li, Jiang Liu
Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated reports.
no code implementations • 16 Feb 2024 • Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Building upon this capability, we propose to enable multimodal large language models (MLLMs) to memorize and recall images within their parameters.
1 code implementation • 16 Feb 2024 • Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Generative retrieval is a promising new paradigm in text retrieval that generates identifier strings of relevant passages as the retrieval target.
1 code implementation • 10 Feb 2024 • Jian Wang, Chak Tou Leong, Jiashuo Wang, Dongding Lin, Wenjie Li, Xiao-Yong Wei
Tuning language models for dialogue generation has been a prevalent paradigm for building capable dialogue agents.
2 code implementations • 15 Jan 2024 • Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
To mitigate the high inference latency stemming from autoregressive decoding in Large Language Models (LLMs), Speculative Decoding has emerged as a novel decoding paradigm for LLM inference.
no code implementations • 12 Jan 2024 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
Clinicians typically employ both intuitive and analytic reasoning to formulate a differential diagnosis.
1 code implementation • 11 Jan 2024 • Jiashuo Wang, Chunpu Xu, Chak Tou Leong, Wenjie Li, Jing Li
An emotional support conversation system aims to alleviate users' emotional distress and assist them in addressing their challenges.
1 code implementation • 9 Jan 2024 • Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, PengFei Liu
Critique, as a natural language description for assessing the quality of model-generated content, has played a vital role in the training, evaluation, and refinement of LLMs.
1 code implementation • 28 Dec 2023 • Yang Xiao, Yi Cheng, Jinlan Fu, Jiashuo Wang, Wenjie Li, PengFei Liu
In recent years, AI has demonstrated remarkable capabilities in simulating human behaviors, particularly those implemented with large language models (LLMs).
no code implementations • 22 Dec 2023 • Ruifeng Yuan, Shichao Sun, Yongqi Li, Zili Wang, Ziqiang Cao, Wenjie Li
With the rapid development of large language models, AI assistants like ChatGPT have become increasingly integrated into people's works and lives but are limited in personalized services.
1 code implementation • 19 Dec 2023 • Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng
In recent years, there has been a growing interest in exploring dialogues with more complex goals, such as negotiation, persuasion, and emotional support, which go beyond traditional service-focused dialogue systems.
1 code implementation • 20 Nov 2023 • Lei Geng, Xu Yan, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang
We achieve a biomedical multilingual corpus by incorporating three granularity knowledge alignments (entity, fact, and passage levels) into monolingual corpora.
no code implementations • 25 Oct 2023 • Wenjie Li, Qifan Song, Jean Honorio
In this work, we study the personalized federated $\mathcal{X}$-armed bandit problem, where the heterogeneous local objectives of the clients are optimized simultaneously in the federated learning paradigm.
1 code implementation • 21 Oct 2023 • Wenjun Hou, Yi Cheng, Kaishuai Xu, Wenjie Li, Jiang Liu
It then combines the historical records, spatiotemporal information, and radiographs for report generation, where a disease progression graph and dynamic progression reasoning mechanism are devised to accurately select the attributes of each observation and progression.
no code implementations • 16 Oct 2023 • Yuji Zhang, Jing Li, Wenjie Li
Language features are evolving in real-world social media, resulting in the deteriorating performance of text classification in dynamics.
2 code implementations • 14 Oct 2023 • Chak Tou Leong, Yi Cheng, Jiashuo Wang, Jian Wang, Wenjie Li
Drawing on this idea, we devise a method to identify the toxification direction from the normal generation process to the one prompted with the negative prefix, and then steer the generation to the reversed direction by manipulating the information movement within the attention layers.
1 code implementation • 11 Oct 2023 • Jian Wang, Yi Cheng, Dongding Lin, Chak Tou Leong, Wenjie Li
Target-oriented dialogue systems, designed to proactively steer conversations toward predefined targets or accomplish specific system-side goals, are an exciting area in conversational AI.
1 code implementation • NeurIPS 2023 • Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
For this alignment, current popular methods leverage a reinforcement learning (RL) approach with a reward model trained on feedback from humans.
1 code implementation • 27 Sep 2023 • Wenjie Li, Mei Wang, Kai Zhang, Juncheng Li, Xiaoming Li, Yuhang Zhang, Guangwei Gao, Weihong Deng, Chia-Wen Lin
We also discuss notable benchmarks commonly utilized in the field.
no code implementations • 25 Jul 2023 • Arindam Debnath, Lavanya Raman, Wenjie Li, Adam M. Krajewski, Marcia Ahn, Shuang Lin, Shunli Shang, Allison M. Beese, Zi-Kui Liu, Wesley F. Reinhart
The rapid design of advanced materials is a topic of great scientific interest.
2 code implementations • 27 Jun 2023 • Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
However, only learning to generate is insufficient for generative retrieval.
1 code implementation • 10 Jun 2023 • Wenjun Hou, Kaishuai Xu, Yi Cheng, Wenjie Li, Jiang Liu
This paper explores the task of radiology report generation, which aims at generating free-text descriptions for a set of radiographs.
1 code implementation • 29 May 2023 • Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
It extracts the medical entities and dialogue acts used in the dialogue history and models their transitions with an entity-centric graph flow and a sequential act flow, respectively.
2 code implementations • 26 May 2023 • Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
Instead of simply matching a query to pre-existing passages, generative retrieval generates identifier strings of passages as the retrieval target.
no code implementations • 24 May 2023 • Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang
We propose a general learning framework for the protection mechanisms that protects privacy via distorting model parameters, which facilitates the trade-off between privacy and utility.
1 code implementation • 9 May 2023 • Jian Wang, Dongding Lin, Wenjie Li
The key to achieving this task lies in planning dialogue paths that smoothly and coherently direct conversations towards the target.
no code implementations • 15 Apr 2023 • Yang Yang, Zhongtian Fu, Xiangyu Wu, Wenjie Li
To address this challenge, in this paper, we experimentally observe that the vision-language divergence may cause the existence of strong and weak modalities, and the hard cross-modal consistency cannot guarantee that strong modal instances' relationships are not affected by weak modality, resulting in the strong modal instances' relationships perturbed despite learned consistent representations. To this end, we propose a novel and directly Coordinated VisionLanguage Retrieval method (dubbed CoVLR), which aims to study and alleviate the desynchrony problem between the cross-modal alignment and single-modal cluster-preserving tasks.
no code implementations • 11 Apr 2023 • Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
To address this, we propose the first game-theoretic framework that considers both FL defenders and attackers in terms of their respective payoffs, which include computational costs, FL model utilities, and privacy leakage risks.
1 code implementation • 7 Mar 2023 • Wenjie Li, Haoze Li, Jean Honorio, Qifan Song
We introduce a Python open-source library for $\mathcal{X}$-armed bandit and online blackbox optimization named PyXAB.
1 code implementation • 24 Feb 2023 • Shichao Sun, Ruifeng Yuan, Wenjie Li, Sujian Li
Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data.
no code implementations • 2 Feb 2023 • Meng Zhao, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Wenjie Li, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao
Conclusions: The proposed deep learning algorithms can be an effective tool for early identification of hemorrhage etiologies based on NCCT scans.
1 code implementation • 29 Dec 2022 • Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin
Lightweight image super-resolution aims to reconstruct high-resolution images from low-resolution images using low computational costs.
no code implementations • 15 Dec 2022 • Dongding Lin, Jian Wang, Wenjie Li
Inspired by collaborative filtering, we propose a collaborative augmentation (COLA) method to simultaneously improve both item representation learning and user preference modeling to address these issues.
no code implementations • 29 Nov 2022 • Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li
Drawn inspiration from prefix-tuning, we are allowed to integrate the task knowledge from text summarization and question answering into a properly designed prefix and apply the merged prefix to query-focused summarization.
no code implementations • 18 Nov 2022 • Chi-Hua Wang, Wenjie Li
Always-valid concentration inequalities are increasingly used as performance measures for online statistical learning, notably in the learning of generative models and supervised learning.
1 code implementation • 1 Nov 2022 • Jiashuo Wang, Yi Cheng, Wenjie Li
Recent approaches to empathetic response generation incorporate emotion causalities to enhance comprehension of both the user's feelings and experiences.
1 code implementation • 9 Oct 2022 • Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
Providing Emotional Support (ES) to soothe people in emotional distress is an essential capability in social interactions.
no code implementations • 30 Sep 2022 • Wenjie Li, Qiaolin Xia, Hao Cheng, Kouyin Xue, Shu-Tao Xia
Specifically, we build an inference-efficient single-party student model applicable to the whole sample space and meanwhile maintain the advantage of the federated feature extension.
1 code implementation • 26 Sep 2022 • Peiqin Lin, Jiashuo Wang, Hinrich Schütze, Wenjie Li
To solve the task, it is essential to model the content-emotion duality of a dialogue, which is composed of the content view (i. e., what personal experiences are described) and the emotion view (i. e., the feelings of the speaker on these experiences).
no code implementations • 24 Aug 2022 • Qi Lv, Ziqiang Cao, Wenrui Xie, Derui Wang, Jingwen Wang, Zhiwei Hu, Tangkun Zhang, Ba Yuan, Yuanhang Li, Min Cao, Wenjie Li, Sujian Li, Guohong Fu
Furthermore, based on the similarity between video outlines and textual outlines, we use a large number of articles with chapter headings to pretrain our model.
1 code implementation • 24 Aug 2022 • Hanqi Yan, Lin Gui, Wenjie Li, Yulan He
In this paper, we propose to use the distribution of singular values of outputs of each transformer layer to characterise the phenomenon of token uniformity and empirically illustrate that a less skewed singular value distribution can alleviate the `token uniformity' problem.
no code implementations • 22 Aug 2022 • Xu Yan, Chunhui Ai, Ziqiang Cao, Min Cao, Sujian Li, Wenjie Li, Guohong Fu
While the builders of existing image-text retrieval datasets strive to ensure that the caption matches the linked image, they cannot prevent a caption from fitting other images.
1 code implementation • 6 Aug 2022 • Jian Wang, Dongding Lin, Wenjie Li
Recommendation dialogue systems aim to build social bonds with users and provide high-quality recommendations.
1 code implementation • 6 Jul 2022 • Wenjie Li, Juncheng Li, Guangwei Gao, Jiantao Zhou, Jian Yang, Guo-Jun Qi
Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction.
no code implementations • 31 May 2022 • Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
As an emerging secure learning paradigm in lever-aging cross-agency private data, vertical federatedlearning (VFL) is expected to improve advertising models by enabling the joint learning of complementary user attributes privately owned by the advertiser and the publisher.
no code implementations • 30 May 2022 • Wenjie Li, Qifan Song, Jean Honorio, Guang Lin
This work establishes the first framework of federated $\mathcal{X}$-armed bandit, where different clients face heterogeneous local objective functions defined on the same domain and are required to collaboratively figure out the global optimum.
no code implementations • 23 May 2022 • Wei Wang, Xin Zhang, Jiaqi Yi, Xianqi Liao, Wenjie Li, Zhenhong Li
The experimental results show that the image denoising method of ZrO2 ceramic bearing ball surface defect based on cartoon-texture decomposition model can denoise while retaining the image details.
1 code implementation • 29 Apr 2022 • Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
In this paper, we explore how to bring interpretability to data-driven DSMD.
1 code implementation • 28 Apr 2022 • Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning.
no code implementations • 12 Mar 2022 • Fuhai Chen, Xuri Ge, Xiaoshuai Sun, Yue Gao, Jianzhuang Liu, Fufeng Chen, Wenjie Li
The key of referring expression comprehension lies in capturing the cross-modal visual-linguistic relevance.
no code implementations • 27 Feb 2022 • Chi-Hua Wang, Wenjie Li, Guang Cheng, Guang Lin
This paper presents a novel federated linear contextual bandits model, where individual clients face different K-armed stochastic bandits with high-dimensional decision context and coupled through common global parameters.
1 code implementation • 16 Dec 2021 • Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu
Convolutional neural networks based single-image super-resolution (SISR) has made great progress in recent years.
1 code implementation • CVPR 2022 • Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen
In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data.
Ranked #3 on
Scene Flow Estimation
on Spring
no code implementations • 9 Oct 2021 • Jiashuo Wang, Wenjie Li, Peiqin Lin, Feiteng Mu
Empathetic response generation aims to comprehend the user emotion and then respond to it appropriately.
1 code implementation • 29 Sep 2021 • Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
This is an exhaustive survey of SISR, which can help researchers better understand SISR and inspire more exciting research in this field.
no code implementations • 29 Sep 2021 • Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia
In this paper we propose the deep Dirichlet process mixture (DDPM) model, which is an unsupervised method that simultaneously performs clustering and feature learning.
1 code implementation • 26 Aug 2021 • Shichao Sun, Wenjie Li
During the training stage, with teacher forcing these models are optimized to maximize the likelihood of the gold summary given the gold summary tokens as input to the decoder, while at inference the given tokens are replaced by the generated tokens.
no code implementations • SEMEVAL 2021 • Rong Xiang, Jinghang Gu, Emmanuele Chersoni, Wenjie Li, Qin Lu, Chu-Ren Huang
In this contribution, we describe the system presented by the PolyU CBS-Comp Team at the Task 1 of SemEval 2021, where the goal was the estimation of the complexity of words in a given sentence context.
1 code implementation • 17 Jun 2021 • Wenjie Li, Chi-Hua Wang, Guang Cheng, Qifan Song
In this paper, we make the key delineation on the roles of resolution and statistical uncertainty in hierarchical bandits-based black-box optimization algorithms, guiding a more general analysis and a more efficient algorithm design.
2 code implementations • 17 Apr 2021 • Yongqi Li, Wenjie Li
In this paper, we study a related but orthogonal issue, data distillation, which aims to distill the knowledge from a large training dataset down to a smaller and synthetic one.
no code implementations • 17 Apr 2021 • Yongqi Li, Wenjie Li, Liqiang Nie
Moreover, in order to collect more complementary information in the historical context, we also propose to incorporate the multi-round relevance feedback technique to explore the impact of the retrieval context on current question understanding.
Conversational Question Answering
Open-Domain Question Answering
+1
no code implementations • 18 Feb 2021 • Wenjie Li, Adarsh Barik, Jean Honorio
Stochastic high dimensional bandit problems with low dimensional structures are useful in different applications such as online advertising and drug discovery.
no code implementations • 18 Jan 2021 • Yongqi Li, Wenjie Li, Liqiang Nie
In the past years, Knowledge-Based Question Answering (KBQA), which aims to answer natural language questions using facts in a knowledge base, has been well developed.
no code implementations • 1 Jan 2021 • Wenjie Li, Guang Cheng
Numerous adaptive algorithms such as AMSGrad and Radam have been proposed and applied to deep learning recently.
no code implementations • 26 Dec 2020 • Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng
In this work, we investigate the idea of variance reduction by studying its properties with general adaptive mirror descent algorithms in nonsmooth nonconvex finite-sum optimization problems.
1 code implementation • NeurIPS 2020 • Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
In this paper we propose Stochastic Deep Gaussian Processes over Graphs (DGPG), which are deep structure models that learn the mappings between input and output signals in graph domains.
1 code implementation • COLING 2020 • Ruifeng Yuan, Zili Wang, Wenjie Li
We also introduce a hierarchical structure, which incorporates the multi-level of granularities of the textual information into the model.
1 code implementation • 15 Oct 2020 • Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang
To push forward the future research on building expert-sensitive medical dialogue system, we proposes two kinds of medical dialogue tasks based on MedDG dataset.
no code implementations • 19 May 2020 • Wenjie Li, Benlai Tang, Xiang Yin, Yushi Zhao, Wei Li, Kang Wang, Hao Huang, Yuxuan Wang, Zejun Ma
Accent conversion (AC) transforms a non-native speaker's accent into a native accent while maintaining the speaker's voice timbre.
no code implementations • 12 May 2020 • Wenjie Li, Benedetta Tondi, Rongrong Ni, Mauro Barni
Transferability of adversarial examples is a key issue to apply this kind of attacks against multimedia forensics (MMF) techniques based on Deep Learning (DL) in a real-life setting.
1 code implementation • 21 Apr 2020 • Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo
Although adaptive optimization algorithms such as Adam show fast convergence in many machine learning tasks, this paper identifies a problem of Adam by analyzing its performance in a simple non-convex synthetic problem, showing that Adam's fast convergence would possibly lead the algorithm to local minimums.
no code implementations • 30 Jan 2020 • Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei zhang
This phenomenon is caused by the normalization effect of BN, which induces a non-trainable region in the parameter space and reduces the network capacity as a result.
no code implementations • ACL 2019 • Hai Ye, Wenjie Li, Lu Wang
Semantic parsing aims to transform natural language (NL) utterances into formal meaning representations (MRs), whereas an NL generator achieves the reverse: producing a NL description for some given MRs.
6 code implementations • 11 May 2019 • Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang
Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations.
Ranked #1 on
Recommendation Systems
on Dianping-Food
8 code implementations • 18 Mar 2019 • Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo
To alleviate sparsity and cold start problem of collaborative filtering based recommender systems, researchers and engineers usually collect attributes of users and items, and design delicate algorithms to exploit these additional information.
Ranked #1 on
Click-Through Rate Prediction
on Book-Crossing
no code implementations • 2 Feb 2019 • Yu Lei, Wenjie Li
In this paper, we study a multi-step interactive recommendation problem, where the item recommended at current step may affect the quality of future recommendations.
3 code implementations • 23 Jan 2019 • Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
Collaborative filtering often suffers from sparsity and cold start problems in real recommendation scenarios, therefore, researchers and engineers usually use side information to address the issues and improve the performance of recommender systems.
no code implementations • 19 Nov 2018 • Chenchen Li, Jialin Wang, Hongwei Wang, Miao Zhao, Wenjie Li, Xiaotie Deng
To enhance the emotion discriminativeness of words in textual feature extraction, we propose Emotional Word Embedding (EWE) to learn text representations by jointly considering their semantics and emotions.
no code implementations • 9 Nov 2018 • Yan-ran Li, Wenjie Li, Ziqiang Cao, Chengyao Chen
To sustain engaging conversation, it is critical for chatbots to make good use of relevant knowledge.
no code implementations • 2 Nov 2018 • Yan-ran Li, Wenjie Li
We propose a chatbot, namely Mocha to make good use of relevant entities when generating responses.
no code implementations • EMNLP 2018 • Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang
Combining the virtues of probability graphic models and neural networks, Conditional Variational Auto-encoder (CVAE) has shown promising performance in applications such as response generation.
no code implementations • EMNLP 2018 • Hui Su, Xiaoyu Shen, Wenjie Li, Dietrich Klakow
Sequence-to-Sequence (seq2seq) models have become overwhelmingly popular in building end-to-end trainable dialogue systems.
no code implementations • ACL 2018 • Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei
Most previous seq2seq summarization systems purely depend on the source text to generate summaries, which tends to work unstably.
Ranked #25 on
Text Summarization
on GigaWord
no code implementations • 7 Jun 2018 • Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo
Therefore, it is infeasible to solve the multi-class classification problem using deep neural network when the number of classes are huge.
1 code implementation • ACL 2018 • Jingjing Xu, Xu sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li
We evaluate our approach on two review datasets, Yelp and Amazon.
Ranked #6 on
Unsupervised Text Style Transfer
on Yelp
9 code implementations • 9 Mar 2018 • Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
To address the sparsity and cold start problem of collaborative filtering, researchers usually make use of side information, such as social networks or item attributes, to improve recommendation performance.
Ranked #2 on
Click-Through Rate Prediction
on Book-Crossing
1 code implementation • NAACL 2018 • Shuming Ma, Xu sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren
The existing sequence-to-sequence model tends to memorize the words and the patterns in the training dataset instead of learning the meaning of the words.
no code implementations • 25 Nov 2017 • Xu Sun, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang, Wenjie Li, Houfeng Wang
The decoding of the complex structure model is regularized by the additionally trained simple structure model.
no code implementations • 13 Nov 2017 • Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li
While previous abstractive summarization approaches usually focus on the improvement of informativeness, we argue that faithfulness is also a vital prerequisite for a practical abstractive summarization system.
Ranked #24 on
Text Summarization
on GigaWord
13 code implementations • IJCNLP 2017 • Yan-ran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.
no code implementations • ACL 2017 • Jianbo Ye, Yan-ran Li, Zhaohui Wu, James Z. Wang, Wenjie Li, Jia Li
The new clustering method is easy to use and consistently outperforms other methods on a variety of data sets.
1 code implementation • ACL 2017 • Shuming Ma, Xu sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su
In this work, our goal is to improve semantic relevance between source texts and summaries for Chinese social media summarization.
no code implementations • ACL 2017 • Xiaoyu Shen, Hui Su, Yan-ran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, Guoping Long
Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems.
no code implementations • 26 Feb 2017 • Tong Che, Yan-ran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio
Despite the successes in capturing continuous distributions, the application of generative adversarial networks (GANs) to discrete settings, like natural language tasks, is rather restricted.
no code implementations • 7 Dec 2016 • Tong Che, Yan-ran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li
Although Generative Adversarial Networks achieve state-of-the-art results on a variety of generative tasks, they are regarded as highly unstable and prone to miss modes.
no code implementations • COLING 2016 • Chengyao Chen, Zhitao Wang, Yu Lei, Wenjie Li
The advantages of the proposed model is the ability to handle the semantic information and to learn two influence components including the opinion influence of the content information and the social relation factors.
no code implementations • 28 Nov 2016 • Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li
In this paper, we develop a novel Seq2Seq model to fuse a copying decoder and a restricted generative decoder.
no code implementations • 28 Nov 2016 • Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei
Developed so far, multi-document summarization has reached its bottleneck due to the lack of sufficient training data and diverse categories of documents.
no code implementations • LREC 2016 • Minglei Li, Yunfei Long, Lu Qin, Wenjie Li
Secondly, a SVM based classifier is used to select the data whose natural labels are consistent with the predicted labels.
no code implementations • COLING 2016 • Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei, Yan-ran Li
Query relevance ranking and sentence saliency ranking are the two main tasks in extractive query-focused summarization.
no code implementations • 26 Nov 2015 • Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou
Both informativeness and readability of the collected summaries are verified by manual judgment.
no code implementations • EMNLP 2015 • Yan-ran Li, Wenjie Li, Fei Sun, Sujian Li
Distributed word representations are very useful for capturing semantic information and have been successfully applied in a variety of NLP tasks, especially on English.
no code implementations • 5 Feb 2015 • Xiaozhao Zhao, Yuexian Hou, Dawei Song, Wenjie Li
We then revisit Boltzmann machines (BM) from a model selection perspective and theoretically show that both the fully visible BM (VBM) and the BM with hidden units can be derived from the general binary multivariate distribution using the CIF principle.
no code implementations • 16 Feb 2013 • Xiaozhao Zhao, Yuexian Hou, Qian Yu, Dawei Song, Wenjie Li
Typical dimensionality reduction methods focus on directly reducing the number of random variables while retaining maximal variations in the data.