1 code implementation • 7 Nov 2023 • Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang
Open-domain generative systems have gained significant attention in the field of conversational AI (e. g., generative search engines).
1 code implementation • 20 Dec 2021 • Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu
Detailed analysis on symptom inquiry prediction demonstrates that the potential of applying symptoms sequence generation for automatic diagnosis.
1 code implementation • 20 Dec 2021 • Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang
Recent works have shown explainability and robustness are two crucial ingredients of trustworthy and reliable text classification.
1 code implementation • 20 Nov 2022 • Junying Chen, Qingcai Chen, Dongfang Li, Yutao Huang
In SeDR, Segment-Interaction Transformer is proposed to encode long documents into document-aware and segment-sensitive representations, while it holds the complexity of splitting-and-pooling and outperforms other segment-interaction patterns on DR.
1 code implementation • 26 Feb 2024 • Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
In this work, we propose a novel approach, termed SelectIT, that capitalizes on the foundational capabilities of the LLM itself.
1 code implementation • 18 May 2019 • Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li
we are the first to explore the performance of fine-tuning BERT for answer selection.
1 code implementation • 14 Nov 2023 • Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu
Large Language Models (LLMs) have shown remarkable capabilities in general natural language processing tasks but often fall short in complex reasoning tasks.
1 code implementation • 22 May 2023 • Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang
As ChatGPT and GPT-4 spearhead the development of Large Language Models (LLMs), more researchers are investigating their performance across various tasks.
1 code implementation • 17 Apr 2024 • Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang
In this paper, we address this gap by presenting a comprehensive analysis of these compressed vectors, drawing parallels to the parameters trained with gradient descent, and introduce the concept of state vector.
1 code implementation • 19 Sep 2023 • Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen
Open-domain table question answering aims to provide answers to a question by retrieving and extracting information from a large collection of tables.
1 code implementation • 6 Nov 2022 • Dongfang Li, Baotian Hu, Qingcai Chen
We conduct extensive experiments on six datasets with two popular pre-trained language models in the in-domain and out-of-domain settings.
1 code implementation • 16 Aug 2023 • Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang
To evaluate the effectiveness of our approach in terms of truthfulness and detoxification, we conduct extensive experiments on LLMs, encompassing additional abilities such as language modeling and mathematical reasoning.
no code implementations • COLING 2018 • Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang
In this paper, we first use a search engine to collect large-scale question pairs related to high-frequency words from various domains, then filter irrelevant pairs by the Wasserstein distance, and finally recruit three annotators to manually check the left pairs.
no code implementations • WS 2019 • Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen
In this paper, we present our approaches for trigger word detection (task 1) and the identification of its thematic role (task 2) in AGAC track of BioNLP Open Shared Task 2019.
no code implementations • 1 Dec 2019 • Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang
In the framework, the visual features are obtained through a visualization and fusion mechanism.
Natural Language Inference Natural Language Understanding +2
no code implementations • 15 Oct 2020 • Xiaofei Mao, Jiahao Cao, Dongfang Li, Xia Jia, Qingfang Zheng
On one hand, CGPN learns to extract effective body part features for both holistic and partial person images.
no code implementations • EMNLP 2020 • Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang
Machine reading comprehension (MRC) has achieved significant progress on the open domain in recent years, mainly due to large-scale pre-trained language models.
no code implementations • 12 Jan 2021 • Dongfang Li, Hongyu Qin, Jiwei Zhang
An essential feature of the subdiffusion equations with the $\alpha$-order time fractional derivative is the weak singularity at the initial time.
Numerical Analysis Numerical Analysis 65M06, 65M12, 65M15, 35R11 F.2.2
no code implementations • 27 Mar 2021 • Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu
The experimental results show that the proposed approach can generate reasonable explanations for its predictions even with a small-scale training corpus.
no code implementations • 17 Jun 2022 • Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang
In this paper, we propose a general Multi-Skill Dialog Framework, namely MSDF, which can be applied in different dialog tasks (e. g. knowledge grounded dialog and persona based dialog).
no code implementations • 12 Jul 2022 • Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen
Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question.
no code implementations • 31 Oct 2022 • Xingchen Song, Di wu, BinBin Zhang, Zhiyong Wu, Wenpeng Li, Dongfang Li, Pengshen Zhang, Zhendong Peng, Fuping Pan, Changbao Zhu, Zhongqin Wu
Therefore, we name it FusionFormer.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • COLING 2022 • Dongfang Li, Baotian Hu, Qingcai Chen
To address these challenges, we propose Prompt-based Text Entailment (PTE) for low-resource named entity recognition, which better leverages knowledge in the PLMs.
Low Resource Named Entity Recognition named-entity-recognition +3
no code implementations • frontiers 2020 • Xueli Xu, Zhongming Xie, Zhenyu Yang, Dongfang Li, Ximing Xu
This study presented a t-SNE based classification approach for compositional microbiome data, which enabled us to build classifiers and classify new samples in the reduced dimensional space produced by t-SNE.
no code implementations • 15 Nov 2023 • Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
In this paper, we tackle the significant challenge of temporal knowledge reasoning in Large Language Models (LLMs), an area where such models frequently encounter difficulties.
no code implementations • 29 Dec 2023 • Dongfang Li, Baotian Hu, Qingcai Chen, Shan He
Feature attribution methods highlight the important input tokens as explanations to model predictions, which have been widely applied to deep neural networks towards trustworthy AI.
no code implementations • 22 Feb 2024 • Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang
The present study introduces the knowledge-augmented generator, which is specifically designed to produce information that remains grounded in contextual knowledge, regardless of alterations in the context.
no code implementations • 27 Mar 2024 • Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang
Large language models have been widely adopted in natural language processing, yet they face the challenge of generating unreliable content.