no code implementations • COLING (CogALex) 2020 • Lu Cao, Yulong Chen, Dandan Huang, Yue Zhang
Functional Magnetic Resonance Imaging (fMRI) provides a means to investigate human conceptual representation in cognitive and neuroscience studies, where researchers predict the fMRI activations with elicited stimuli inputs.
no code implementations • INLG (ACL) 2021 • Yulong Chen, Yang Liu, Yue Zhang
We propose a shared task on summarizing real-life scenario dialogues, DialogSum Challenge, to encourage researchers to address challenges in dialogue summarization, which has been less studied by the summarization community.
1 code implementation • 27 Dec 2024 • Xiaoyang Liu, Boran Wen, Xinpeng Liu, Zizheng Zhou, Hongwei Fan, Cewu Lu, Lizhuang Ma, Yulong Chen, Yong-Lu Li
Accordingly, an object grounding task is proposed expecting vision systems to discover interacted objects.
1 code implementation • 16 Dec 2024 • Liang Chen, Zekun Wang, Shuhuai Ren, Lei LI, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang
As Large Language Models (LLMs) have advanced to unify understanding and generation tasks within the textual modality, recent research has shown that tasks from different modalities can also be effectively encapsulated within the NTP framework, transforming the multimodal information into tokens and predict the next one given the context.
no code implementations • 26 Nov 2024 • Yijia Hong, Yuan-Chen Guo, Ran Yi, Yulong Chen, Yan-Pei Cao, Lizhuang Ma
We present SuperMat, a single-step framework that achieves high-quality material decomposition with one-step inference.
1 code implementation • 21 Nov 2024 • Jianhao Yan, Pingchuan Yan, Yulong Chen, Jing Li, Xianchao Zhu, Yue Zhang
This study presents a comprehensive evaluation of GPT-4's translation capabilities compared to human translators of varying expertise levels.
1 code implementation • 31 Oct 2024 • Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos
The Automated Verification of Textual Claims (AVeriTeC) shared task asks participants to retrieve evidence and predict veracity for real-world claims checked by fact-checkers.
1 code implementation • 16 Aug 2024 • Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, ZiYi Yang, Chenguang Zhu, Yue Zhang
We then build a benchmark, SC-G4, consisting of 1, 835 instances generated by GPT-4 using these patterns, with human-annotated gold responses.
no code implementations • 4 Jul 2024 • Jianhao Yan, Pingchuan Yan, Yulong Chen, Judy Li, Xianchao Zhu, Yue Zhang
This study comprehensively evaluates the translation quality of Large Language Models (LLMs), specifically GPT-4, against human translators of varying expertise levels across multiple language pairs and domains.
no code implementations • 7 Jun 2024 • Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang
Notably, as the number of data volume and the count of local epochs increases within a threshold, there is an improvement in model performance accompanied by a reduction in the variance of performance errors.
no code implementations • 19 Feb 2024 • Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea
In this paper, we investigate the effectiveness of various LLMs in interpreting tabular data through different prompting strategies and data formats.
no code implementations • 30 Oct 2023 • Xuefeng Bai, Jialong Wu, Yulong Chen, Zhongqing Wang, Yue Zhang
Constituency parsing is a fundamental yet unsolved natural language processing task.
1 code implementation • 25 Oct 2023 • Yinghui He, Yufan Wu, Yilin Jia, Rada Mihalcea, Yulong Chen, Naihao Deng
Theory of Mind (ToM) is the ability to reason about one's own and others' mental states.
1 code implementation • 3 Sep 2023 • Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi
While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit hallucinations: LLMs occasionally generate content that diverges from the user input, contradicts previously generated context, or misaligns with established world knowledge.
1 code implementation • 8 Jul 2023 • Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang
Additionally, based on the same intuition, we propose a 2-Step method, which takes both conversation and summary as input to simulate human annotation process.
no code implementations • 23 May 2023 • Naihao Deng, YiKai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea
Our results show that our system can meet the diverse needs of NLP researchers and significantly accelerate the annotation process.
1 code implementation • 17 Nov 2022 • Yulong Chen, Yang Liu, Ruochen Xu, ZiYi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
The high annotation costs and diverse demands of various summarization tasks motivate the development of few-shot summarization.
1 code implementation • 9 Nov 2022 • Yusen Zhang, Yang Liu, ZiYi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
We propose two simple and effective parameter-efficient approaches for the new task of mixed controllable summarization based on hard prompt tuning and soft prefix tuning.
1 code implementation • COLING 2022 • Naihao Deng, Yulong Chen, Yue Zhang
Text-to-SQL has attracted attention from both the natural language processing and database communities because of its ability to convert the semantics in natural language into SQL queries and its practical application in building natural language interfaces to database systems.
1 code implementation • 8 Aug 2022 • Yulong Chen, Naihao Deng, Yang Liu, Yue Zhang
We report the results of DialogSum Challenge, the shared task on summarizing real-life scenario dialogues at INLG 2022.
2 code implementations • 1 May 2022 • Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.
Abstractive Dialogue Summarization
Conversation Summarization
+4
no code implementations • 11 Apr 2022 • Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen
In this paper, to address the current lack of comprehensive survey of existing LJP tasks, datasets, models and evaluations, (1) we analyze 31 LJP datasets in 6 languages, present their construction process and define a classification method of LJP with 3 different attributes; (2) we summarize 14 evaluation metrics under four categories for different outputs of LJP tasks; (3) we review 12 legal-domain pretrained models in 3 languages and highlight 3 major research directions for LJP; (4) we show the state-of-art results for 8 representative datasets from different court cases and discuss the open challenges.
2 code implementations • ACL 2022 • Xuefeng Bai, Yulong Chen, Yue Zhang
To our knowledge, we are the first to consider pre-training on semantic graphs.
Ranked #1 on
AMR-to-Text Generation
on Bio
(BLEU metric, using extra
training data)
no code implementations • 10 Feb 2022 • Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang
However, for prompt learning, there are still two salient gaps between NLP tasks and pretraining.
no code implementations • 7 Feb 2022 • Xinliang Fu, Jiayin Zheng, Juanyun Mai, Yanbo Shao, Minghao Wang, Linyu Li, Zhaoqi Diao, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji
The segmentation module which precisely outlines the nodules is a crucial step in a computer-aided diagnosis(CAD) system.
no code implementations • 31 Jan 2022 • Juanyun Mai, Minghao Wang, Jiayin Zheng, Yanbo Shao, Zhaoqi Diao, Xinliang Fu, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji
The false positive reduction module significantly decreases the average number of candidates generated per scan by 68. 11% and the false discovery rate by 13. 48%, which is promising to reduce distracted proposals for the downstream tasks based on the detection results.
1 code implementation • ACL 2021 • Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
Modern neural machine translation (NMT) models have achieved competitive performance in standard benchmarks such as WMT.
1 code implementation • ACL 2021 • Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang
Although neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core semantics, such as ignoring important entities.
Ranked #8 on
Dialog Relation Extraction
on DialogRE
Abstract Meaning Representation
Dialog Relation Extraction
+3
1 code implementation • Findings (ACL) 2021 • Yulong Chen, Yang Liu, Liang Chen, Yue Zhang
Proposal of large-scale datasets has facilitated research on deep neural models for news summarization.
Abstractive Dialogue Summarization
Common Sense Reasoning
+3