Optical power monitoring for O-OFDM superchannel based on Wiener deconvolution. - Hongwen Lin; Tao Gui; Yuan Bao; Jianping Li 005; Zhaohui Li; Gordon Ning Liu (ICAIT, 2013)

Ultra-fine optical spectrum microscope using optical channel estimation and spectrum fusion technique. - Haiyan Shang; Zhaohui Li; Tao Gui; Yuan Bao; Xinhuan Feng; Jianping Li 005; Hongyan Fu 001; Dongyu Geng (OFC/NFOEC, 2013)

Optical spectrally efficient FDM system for electrical and optical bandwidth saving. - Izzat Darwazeh; Tongyang Xu; Tao Gui; Yuan Bao; Zhaohui Li (ICC, 2014)

Delayed self-homodyne detection for OFDM-PON downstream. - Rong Hu; Tao Gui; Zhaohui Li; Haibo Li; Chao Li; Cai Li; Xiao Xiao; Qi Yang 001; Shaohua Yu; Xi Chen 018; William Shieh (OFC, 2014)

Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions. - Tao Gui; Zhenhua Dong; Chao Lu 001; Alexander Ping-Kong Wai; Alan Pak Tao Lau (OFC, 2016)

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. - Tao Gui; Qi Zhang 001; Haoran Huang; Minlong Peng; Xuanjing Huang 001 (EMNLP, 2017)

4 Bits/symbol phase and amplitude modulation on a single discrete eigenvalue for transmissions based on nonlinear fourier transform. - Tao Gui; Shun Ka Lo; Xian Zhou 001; Chao Lu 001; Alan Pak Tao Lau; Ping-Kong Alex Wai (OFC, 2017)

50-Gb/s PDM-DMT-SSB transmission over 40km SSMF using a single photodetector in C-band. - Jiahao Huo; Xian Zhou 001; Kangping Zhong; Tao Gui; Yiguang Wang; Liang Wang 048; Jinhui Yuan; Hongyu Zhang; Keping Long; Changyuan Yu; Alan Pak Tao Lau; Chao Lu 001 (OFC, 2017)

Recent advances in short reach systems. - Kangping Zhong; Xian Zhou 001; Yiguang Wang; Tao Gui; Yanfu Yang; Jinhui Yuan; Liang Wang 048; Wei Chen; Hongyu Zhang; Jiangwei Man; Li Zeng; Changyuan Yu; et al. (OFC, 2017)

Correlated Eigenvalues Optical Communications. - Wenqi Zhang; Tao Gui; Qun Zhang 006; Chao Lu 001; Tanya M. Monro; Terence H. Chan; Alan Pak Tao Lau; Shahraam Afshar V (CoRR, 2017)

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. - Yicheng Zou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2018)

Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. - Tao Gui; Qi Zhang 001; Jingjing Gong; Minlong Peng; Di Liang; Keyu Ding; Xuanjing Huang 001 (EMNLP, 2018)

Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. - Jingjing Gong; Xinchi Chen; Tao Gui; Xipeng Qiu (AAAI, 2019)

Cooperative Multimodal Approach to Depression Detection in Twitter. - Tao Gui; Liang Zhu; Qi Zhang 001; Minlong Peng; Xu Zhou; Keyu Ding; Zhigang Chen (AAAI, 2019)

Long Short-Term Memory with Dynamic Skip Connections. - Tao Gui; Qi Zhang 001; Lujun Zhao; Yaosong Lin; Minlong Peng; Jingjing Gong; Xuanjing Huang 001 (AAAI, 2019)

Trainable Undersampling for Class-Imbalance Learning. - Minlong Peng; Qi Zhang 001; Xiaoyu Xing; Tao Gui; Xuanjing Huang 001; Yu-Gang Jiang 001; Keyu Ding; Zhigang Chen (AAAI, 2019)

Mining User Profiles from Query Log. - Minlong Peng; Jun Zhao 019; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jinlan Fu (CCIR, 2019)

Depression Detection on Social Media with Reinforcement Learning. - Tao Gui; Qi Zhang 001; Liang Zhu; Xu Zhou; Minlong Peng; Xuanjing Huang 001 (CCL, 2019)

Modeling the Long-Term Post History for Personalized Hashtag Recommendation. - Minlong Peng; Yaosong Lin; Lanjun Zeng; Tao Gui; Qi Zhang 001 (CCL, 2019)

A Lexicon-Based Graph Neural Network for Chinese NER. - Tao Gui; Yicheng Zou; Qi Zhang 001; Minlong Peng; Jinlan Fu; Zhongyu Wei; Xuanjing Huang 001 (EMNLP/IJCNLP (1), 2019)

CNN-Based Chinese NER with Lexicon Rethinking. - Tao Gui; Ruotian Ma; Qi Zhang 001; Lujun Zhao; Yu-Gang Jiang 001; Xuanjing Huang 001 (IJCAI, 2019)

Learning Task-Specific Representation for Novel Words in Sequence Labeling. - Minlong Peng; Qi Zhang 001; Xiaoyu Xing; Tao Gui; Jinlan Fu; Xuanjing Huang 001 (IJCAI, 2019)

Model the Long-Term Post History for Hashtag Recommendation. - Minlong Peng; Qiyuan Bian; Qi Zhang 001; Tao Gui; Jinlan Fu; Lanjun Zeng; Xuanjing Huang 001 (NLPCC (1), 2019)

Signal Processing Techniques for Nonlinear Fourier Transform Systems. - Gai Zhou; Tao Gui; Terence Chan; Chao Lu 001; Alan Pak Tao Lau; Ping-Kong Alex Wai (OFC, 2019)

140-GBaud PAM-4 Transmission Using Optical Band Interleaving, Kramers-Kronig Detection and Volterra Based Equalization. - Xiong Wu; Junwei Zhang; Changjian Guo; Jie Liu; Tao Gui; Alan Pak Tao Lau; Chao Lu 001 (OECC/PSC, 2019)

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. - Tao Gui; Peng Liu; Qi Zhang 001; Liang Zhu; Minlong Peng; Yunhua Zhou; Xuanjing Huang 001 (SIGIR, 2019)

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. - Di Liang; Fubao Zhang; Weidong Zhang; Qi Zhang 001; Jinlan Fu; Minlong Peng; Tao Gui; Xuanjing Huang 001 (SIGIR, 2019)

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network. - Jinlan Fu; Qi Zhang 001; Jifan Chen; Minlong Peng; Tao Gui; Xipeng Qiu; Xuanjing Huang 001 (Sci. China Inf. Sci., 2019)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (CoRR, 2019)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (AAAI, 2020)

Uncertainty-Aware Label Refinement for Sequence Labeling. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Zhengyan Li; Zichu Fei; Yeyun Gong; Xuanjing Huang 001 (EMNLP (1), 2020)

Leveraging Document-Level Label Consistency for Named Entity Recognition. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Yaqian Zhou 001; Yeyun Gong; Xuanjing Huang 001 (IJCAI, 2020)

Real-Time Demonstration of 600 Gb/s DP-64QAM Self-Homodyne Coherent Bi-Direction Transmission with Un-Cooled DFB Laser. - Tao Gui; Xuefeng Wang; Ming Tang 005; Yi Yu; Yanzhao Lu; Liangchuan Li (OFC, 2020)

SENT: Sentence-level Distant Relation Extraction via Negative Training. - Ruotian Ma; Tao Gui; Linyang Li; Qi Zhang 001; Xuanjing Huang 001; Yaqian Zhou 001 (ACL/IJCNLP (1), 2021)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

A Unified Generative Framework for Various NER Subtasks. - Hang Yan 001; Tao Gui; Junqi Dai; Qipeng Guo; Zheng Zhang 001; Xipeng Qiu (ACL/IJCNLP (1), 2021)

One2Set: Generating Diverse Keyphrases as a Set. - Jiacheng Ye; Tao Gui; Yichao Luo; Yige Xu 001; Qi Zhang 001 (ACL/IJCNLP (1), 2021)

Heterogeneous Graph Neural Networks for Keyphrase Generation. - Jiacheng Ye; Ruijian Cai; Tao Gui; Qi Zhang 001 (EMNLP (1), 2021)

A Relation-Oriented Clustering Method for Open Relation Extraction. - Jun Zhao 019; Tao Gui; Qi Zhang 001; Yaqian Zhou 001 (EMNLP (1), 2021)

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining. - Yicheng Zou; Bolin Zhu; Xingwu Hu; Tao Gui; Qi Zhang 001 (EMNLP (1), 2021)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models. - Xin Zhou 012; Ruotian Ma; Tao Gui; Yiding Tan; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2021)

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. - Zichu Fei; Qi Zhang 001; Tao Gui; Di Liang; Sirui Wang; Wei Wu 014; Xuanjing Huang 001 (ACL (1), 2022)

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. - Qin Liu 010; Rui Zheng; Bao Rong; Jingyi Liu; Zhihua Liu; Zhanzhan Cheng; Liang Qiao 001; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2022)

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. - Xiao Wang 001; Shihan Dou; Limao Xiong; Yicheng Zou; Qi Zhang 001; Tao Gui; Liang Qiao 001; Zhanzhan Cheng; Xuanjing Huang 001 (ACL (1), 2022)

Robust Lottery Tickets for Pre-trained Language Models. - Rui Zheng; Bao Rong; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2022)

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents. - Yicheng Zou; Hongwei Liu; Tao Gui; Junzhe Wang; Qi Zhang 001; Meng Tang; Haixiang Li; Daniel Wang 003 (ACL (Findings), 2022)

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method. - Jun Zhao 019; Yuan Hu; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

Abstains from Prediction: Towards Robust Relation Extraction in Real World. - Jun Zhao 019; Yongxin Zhang; Nuo Xu; Tao Gui; Qi Zhang 001; Yunwen Chen; Xiang Gao 017 (CCL, 2022)

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. - Zichu Fei; Xin Zhou 012; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

Causal Intervention Improves Implicit Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Changzhi Sun; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models. - Ting Wu; Tao Gui (COLING, 2022)

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Tao Gui; Qi Zhang 001; Liang Qiao 001; Zhanzhan Cheng; Shiliang Pu (COLING, 2022)

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. - Rui Zheng; Rong Bao; Qin Liu 010; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. - Xin Zhou 012; Ruotian Ma; Yicheng Zou; Xuanting Chen; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Rui Xie 005; Wei Wu 014 (COLING, 2022)

ProofInfer: Generating Proof via Iterative Hierarchical Inference. - Zichu Fei; Qi Zhang 001; Xin Zhou 012; Tao Gui; Xuanjing Huang 001 (EMNLP, 2022)

Efficient Adversarial Training with Robust Early-Bird Tickets. - Zhiheng Xi; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? - Ningyu Xu; Tao Gui; Ruotian Ma; Qi Zhang 001; Jingting Ye; Menghan Zhang; Xuanjing Huang 001 (EMNLP, 2022)

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. - Xin Zhou 012; Jinzhu Lu; Tao Gui; Ruotian Ma; Zichu Fei; Yuran Wang; Yong Ding; Yibo Cheung; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui (IJCAI, 2022)

Template-free Prompt Tuning for Few-shot NER. - Ruotian Ma; Xin Zhou 012; Tao Gui; Yiding Tan; Linyang Li; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT, 2022)

Real Time 6.4 Tbps (8×800G) SHCD Transmission through 1+8 Multicore Fiber for Co-Packaged Optical-IO Switch Applications. - Tao Gui; Haoze Du; Keshuang Zheng; Juntao Cao; Shuai Yuan; Chen Yang; Ming Tang 005; Liangchuan Li (OFC, 2022)

Searching for Optimal Subword Tokenization in Cross-domain NER. - Ruotian Ma; Yiding Tan; Xin Zhou 012; Xuanting Chen; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001 (CoRR, 2022)

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Lin Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Robust Lottery Tickets for Pre-trained Language Models. - Rui Zheng; Rong Bao; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu 014; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2022)

Sentiment-aware multimodal pre-training for multimodal sentiment analysis. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Jingyi Zhou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (Knowl. Based Syst., 2022)

Uncertainty-Aware Sequence Labeling. - Jiacheng Ye; Xiang Zhou; Xiaoqing Zheng; Tao Gui; Qi Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER. - Ruotian Ma; Xuanting Chen; Zhang Lin; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (1), 2023)

Coarse-to-fine Few-shot Learning for Named Entity Recognition. - Ruotian Ma; Zhang Lin; Xuanting Chen; Xin Zhou 012; Junzhe Wang; Tao Gui; Qi Zhang 001; Xiang Gao 017; Yun Wen Chen (ACL (Findings), 2023)

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. - Xiao Wang; Weikang Zhou; Qi Zhang 001; Jie Zhou; Songyang Gao; Junzhe Wang; Menghan Zhang; Xiang Gao 017; Yunwen Chen; Tao Gui (ACL (Findings), 2023)

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. - Ting Wu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2023)

Connectivity Patterns are Task Embeddings. - Zhiheng Xi; Rui Zheng; Yuansen Zhang; Xuanjing Huang 001; Zhongyu Wei; Minlong Peng; Mingming Sun 001; Qi Zhang 001; Tao Gui (ACL (Findings), 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 012; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

Actively Supervised Clustering for Open Relation Extraction. - Jun Zhao 019; Yongxin Zhang; Qi Zhang 001; Tao Gui; Zhongyu Wei; Minlong Peng; Mingming Sun 001 (ACL (1), 2023)

Open Set Relation Extraction via Unknown-Aware Training. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Qi Zhang 001; Tao Gui; Zhongyu Wei; Yun Wen Chen; Xiang Gao 017; Xuanjing Huang 001 (ACL (1), 2023)

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. - Jun Zhao 019; WenYu Zhan; Xin Zhao; Qi Zhang 001; Tao Gui; Zhongyu Wei; Junzhe Wang; Minlong Peng; Mingming Sun 001 (ACL (1), 2023)

Detecting Adversarial Samples through Sharpness of Loss Landscape. - Rui Zheng; Shihan Dou; Yuhao Zhou; Qin Liu 010; Tao Gui; Qi Zhang 001; Zhongyu Wei; Xuanjing Huang 001; Menghan Zhang (ACL (Findings), 2023)

Characterizing the Impacts of Instances on Robustness. - Rui Zheng; Zhiheng Xi; Qin Liu 010; Wenbin Lai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Jin Ma 003; Ying Shan; Weifeng Ge (ACL (Findings), 2023)

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Yuran Wang; Yong Ding; Yibo Zhang; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2023)

Towards Understanding Omission in Dialogue Summarization. - Yicheng Zou; Kaitao Song; Xu Tan 003; Zhongkai Fu; Qi Zhang 001; Dongsheng Li 002; Tao Gui (ACL (1), 2023)

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. - Yixuan Sun; Dongyang Zhao; Zhangyue Yin; Yiwen Huang; Tao Gui; Wenqiang Zhang; Weifeng Ge (CVPR, 2023)

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. - Wei Shen; Rui Zheng; WenYu Zhan; Jun Zhao 019; Shihan Dou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Orthogonal Subspace Learning for Language Model Continual Learning. - Xiao Wang 001; Tianze Chen; Qiming Ge; Han Xia; Rong Bao; Rui Zheng; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. - Zhiheng Xi; Senjie Jin; Yuhao Zhou; Rui Zheng; Songyang Gao; Jia Liu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. - Junjie Ye; Jie Zhou 012; Junfeng Tian; Rui Wang 005; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. - Chong Zhang; Ya Guo; Yi Tu; Huan Chen; Jinyang Tang; Huijia Zhu; Qi Zhang 001; Tao Gui (EMNLP, 2023)

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. - Wentao Zhou; Jun Zhao 019; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. - Enyu Zhou; Rui Zheng; Zhiheng Xi; Songyang Gao; Xiaoran Fan; Zichu Fei; Jingting Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2023)

First Demonstration of MWDM-Based 400G-LR4 over 10-km SSMF Supporting 400GE and OTN Dual Rates. - Dong Wang 022; Mingqing Zuo; Wei Zhang; Tao Lin; Jiang Sun; Tao Gui; Wupin Zhang; Dawei Ge; Chendi Jiang; Chenggang Liu; Yunbo Li; Changsheng Li; et al. (OFC, 2023)

First Real-time Demonstration of 200G TFDMA Coherent PON using Ultra-simple ONUs. - Zhenping Xing; Kuo Zhang; Xi Chen 018; Qiguang Feng; Keshuang Zheng; Yijia Zhao; Zhen Dong; Ji Zhou 002; Tao Gui; Zhicheng Ye; Liangchuan Li (OFC, 2023)

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. - Xuanting Chen; Junjie Ye; Can Zu; Nuo Xu; Rui Zheng; Minlong Peng; Jie Zhou 015; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. - Junjie Ye; Xuanting Chen; Nuo Xu; Can Zu; Zekai Shao; Shichun Liu; Yuhan Cui; Zeyang Zhou; Chao Gong 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 2023)

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction. - Xiao Wang 035; Weikang Zhou; Can Zu; Han Xia; Tianze Chen; Yuansen Zhang; Rui Zheng; Junjie Ye; Qi Zhang 001; Tao Gui; Jihua Kang; Jingsheng Yang; et al. (CoRR, 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 015; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (CoRR, 2023)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. - Zhiheng Xi; Senjie Jin; Yuhao Zhou; Rui Zheng; Songyang Gao; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

Open Set Relation Extraction via Unknown-Aware Training. - Jun Zhao 019; Xin Zhao; WenYu Zhan; Qi Zhang 001; Tao Gui; Zhongyu Wei; Yunwen Chen; Xiang Gao 017; Xuanjing Huang 001 (CoRR, 2023)

Secrets of RLHF in Large Language Models Part I: PPO. - Rui Zheng; Shihan Dou; Songyang Gao; Yuan Hua; Wei Shen; Binghai Wang; Yan Liu 002; Senjie Jin; Qin Liu 010; Yuhao Zhou; Limao Xiong; Lu Chen; et al. (CoRR, 2023)

Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations. - Ji Zhou 002; Zhenping Xing; Haide Wang; Kuo Zhang; Xi Chen 018; Qiguang Feng; Keshuang Zheng; Yijia Zhao; Zhen Dong; Tao Gui; Zhicheng Ye; Liangchuan Li (CoRR, 2023)

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. - Shihan Dou; Junjie Shan; Haoxiang Jia; Wenhao Deng 001; Zhiheng Xi; Wei He 024; Yueming Wu 001; Tao Gui; Yang Liu 003; Xuanjing Huang 001 (CoRR, 2023)

The Rise and Potential of Large Language Model Based Agents: A Survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (CoRR, 2023)

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths. - Bolin Zhu; Xiaoze Liu; Xin Mao; Zhuo Chen 007; Lingbing Guo; Tao Gui; Qi Zhang 001 (CoRR, 2023)

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models. - Xiao Wang 001; Yuansen Zhang; Tianze Chen; Songyang Gao; Senjie Jin; Xianjun Yang; Zhiheng Xi; Rui Zheng; Yicheng Zou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2023)

Unveiling A Core Linguistic Region in Large Language Models. - Jun Zhao 019; Zhihao Zhang 002; Yide Ma; Qi Zhang 001; Tao Gui; Luhui Gao; Xuanjing Huang 001 (CoRR, 2023)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (CoRR, 2023)

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Jun Zhao 019; Wei Shen; Yuhao Zhou; Zhiheng Xi; Xiao Wang 001; Xiaoran Fan; Shiliang Pu; Jiang Zhu; et al. (CoRR, 2023)

LLMEval: A Preliminary Study on How to Evaluate Large Language Models. - Yue Zhang 004; Ming Zhang 030; Haipeng Yuan; Shichun Liu; Yongyao Shi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (AAAI, 2024)

Making Harmful Behaviors Unlearnable for Large Language Models. - Xin Zhou 012; Yi Lu; Ruotian Ma; Yujian Wei; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2024)

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Enyu Zhou; Limao Xiong; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; Tao Ji; et al. (ACL (1), 2024)

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. - Shihan Dou; Enyu Zhou; Yan Liu 002; Songyang Gao; Wei Shen; Limao Xiong; Yuhao Zhou; Xiao Wang 001; Zhiheng Xi; Xiaoran Fan; Shiliang Pu; Jiang Zhu; et al. (ACL (1), 2024)

Navigating the OverKill in Large Language Models. - Chenyu Shi; Xiao Wang 042; Qiming Ge; Songyang Gao; Xianjun Yang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Xun Zhao; Dahua Lin (ACL (1), 2024)

Length Generalization of Causal Transformers without Position Encoding. - Jie Wang 126; Tao Ji; Yuanbin Wu; Hang Yan 001; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Xiaoling Wang 004 (ACL (Findings), 2024)

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (ACL (Student Research Workshop), 2024)

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. - Ting Wu; Jingyi Liu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2024)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. - Junjie Ye; Sixian Li; Guanyu Li; Caishuang Huang; Songyang Gao; Yilong Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (ACL (1), 2024)

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. - Jun Zhan; Junqi Dai; Jiasheng Ye; Yunhua Zhou; Dong Zhang; Zhigeng Liu; Xin Zhang; Ruibin Yuan; Ge Zhang 009; Linyang Li; Hang Yan 001; Jie Fu 001; et al. (ACL (1), 2024)

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization. - Yuansen Zhang; Xiao Wang; Tianze Chen; Jiayi Fu; Tao Gui; Qi Zhang 001 (ACL (Findings), 2024)

Unveiling Linguistic Regions in Large Language Models. - Zhihao Zhang 002; Jun Zhao 019; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (ACL (1), 2024)

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Qin Chen 001; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (LREC/COLING, 2024)

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. - Yuansen Zhang; Xiao Wang 001; Zhiheng Xi; Han Xia; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. - Rui Zheng; Yuhao Zhou; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. - Yuhao Zhou; Wenxiang Chen; Rui Zheng; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (LREC/COLING, 2024)

PDF-to-Tree: Parsing PDF Text Blocks into a Tree. - Yue Zhang 004; Zhihao Zhang 002; Wenbin Lai; Chong Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. - Jun Zhao 019; Can Zu; Xu Hao; Yi Lu; Wei He 024; Yiwen Ding; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. - Lu Chen; Rui Zheng; Binghai Wang; Senjie Jin; Caishuang Huang; Junjie Ye; Zhihao Zhang 002; Yuhao Zhou; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

LongHeads: Multi-Head Attention is Secretly a Long Context Processor. - Yi Lu; Xin Zhou 012; Wei He 024; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

Reward Modeling Requires Automatic Adjustment Based on Data Quality. - Binghai Wang; Rui Zheng; Lu Chen; Zhiheng Xi; Wei Shen; Yuhao Zhou; Dong Yan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (Findings), 2024)

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. - Junjie Ye; Yilong Wu; Songyang Gao; Caishuang Huang; Sixian Li; Guanyu Li; Xiaoran Fan; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (EMNLP, 2024)

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. - Ming Zhang 030; Caishuang Huang; Yilong Wu; Shichun Liu; Huiyuan Zheng; Yurui Dong; Yujiong Shen; Shihan Dou; Jun Zhao 019; Junjie Ye; Qi Zhang 001; Tao Gui; et al. (EMNLP, 2024)

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. - Chong Zhang; Yi Tu; Yixi Zhao; Chenshu Yuan; Huan Chen; Yue Zhang 004; Mingxu Chai; Ya Guo; Huijia Zhu; Qi Zhang 001; Tao Gui (EMNLP, 2024)

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. - Xin Zhou 012; Ping Nie; Yiwen Guo; Haojie Wei; Zhanqiu Zhang; Pasquale Minervini; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICASSP, 2024)

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. - Rui Zheng; Wei Shen; Yuan Hua; Wenbin Lai; Shihan Dou; Yuhao Zhou; Zhiheng Xi; Xiao Wang; Haoran Huang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICLR, 2024)

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. - Zhiheng Xi; Wenxiang Chen; Boyang Hong; Senjie Jin; Rui Zheng; Wei He 024; Yiwen Ding; Shichun Liu; Xin Guo; Junzhe Wang; Honglin Guo; Wei Shen; et al. (ICML, 2024)

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. - Wei He 024; Shichun Liu; Jun Zhao 019; Yiwen Ding; Yi Lu; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (NAACL-HLT (Findings), 2024)

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. - Shihan Dou; Songyang Gao; Tao Gui; Qi Zhang 001 (NLPCC (1), 2024)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

LLaMA Beyond English: An Empirical Study on Language Capability Transfer. - Jun Zhao 019; Zhihao Zhang 002; Luhui Gao; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

Secrets of RLHF in Large Language Models Part II: Reward Modeling. - Binghai Wang; Rui Zheng; Lu Chen; Yan Liu 002; Shihan Dou; Caishuang Huang; Wei Shen; Senjie Jin; Enyu Zhou; Chenyu Shi; Songyang Gao; Nuo Xu; et al. (CoRR, 2024)

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. - Chaochao Lu; Chen Qian 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

MouSi: Poly-Visual-Expert Vision-Language Models. - Xiaoran Fan; Tao Ji; Changhao Jiang; Shuo Li; Senjie Jin; Sirui Song; Junke Wang; Boyang Hong; Lu Chen; Guodong Zheng; Ming Zhang 030; Caishuang Huang; et al. (CoRR, 2024)

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. - Shihan Dou; Yan Liu 002; Haoxiang Jia; Limao Xiong; Enyu Zhou; Wei Shen; Junjie Shan; Caishuang Huang; Xiao Wang 001; Xiaoran Fan; Zhiheng Xi; Yuhao Zhou; et al. (CoRR, 2024)

Are Large Language Models Good Prompt Optimizers? - Ruotian Ma; Xiaolei Wang; Xin Zhou 012; Jian Li; Nan Du; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. - Nuo Xu; Jun Zhao 019; Can Zu; Sixian Li; Lu Chen; Zhihao Zhang 002; Rui Zheng; Shihan Dou; Wenjuan Qin; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. - Jun Zhao 019; Can Zu; Hao Xu; Yi Lu; Wei He 024; Yiwen Ding; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. - Junjie Ye; Nuo Xu; Yikun Wang; Jie Zhou 015; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. - Huijie Lv; Xiao Wang 001; Yuansen Zhang; Caishuang Huang; Shihan Dou; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. - Weikang Zhou; Xiao Wang 001; Limao Xiong; Han Xia; Yingshuang Gu; Mingxu Chai; Fukang Zhu; Caishuang Huang; Shihan Dou; Zhiheng Xi; Rui Zheng; Songyang Gao; et al. (CoRR, 2024)

InternLM2 Technical Report. - Zheng Cai; Maosong Cao; Haojiong Chen; Kai Chen 026; Keyu Chen; Xin Chen; Xun Chen; Zehui Chen; Zhi Chen 006; Pei Chu; Xiaoyi Dong; Haodong Duan; et al. (CoRR, 2024)

MetaRM: Shifted Distributions Alignment via Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Tianlong Li; Haoxiang Jia; Limao Xiong; Xin Zhao; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Dingwen Yang; Chenyang Liao; Xin Guo; Wei He 024; Songyang Gao; Lu Chen; et al. (CoRR, 2024)

Toward Optimal LLM Alignments Using Two-Player Games. - Rui Zheng; Hongyi Guo; Zhihan Liu; Xiaoying Zhang; Yuanshun Yao; Xiaojun Xu; Zhaoran Wang 001; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Hang Li 001; et al. (CoRR, 2024)

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. - Yongting Zhang; Lu Chen; Guodong Zheng; Yifeng Gao; Rui Zheng; Jinlan Fu; Zhenfei Yin; Senjie Jin; Yu Qiao 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (CoRR, 2024)

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. - Caishuang Huang; Wanxu Zhao; Rui Zheng; Huijie Lv; Shihan Dou; Sixian Li; Xiao Wang 042; Enyu Zhou; Junjie Ye; Yuming Yang; Tao Gui; Qi Zhang 001; et al. (CoRR, 2024)

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. - Shihan Dou; Haoxiang Jia; Shenxi Wu; Huiyuan Zheng; Weikang Zhou; Muling Wu; Mingxu Chai; Jessica Fan; Caishuang Huang; Yunbo Tao; Yan Liu 002; Enyu Zhou; et al. (CoRR, 2024)

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering. - Junjie Ye; Yuming Yang; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007 (CoRR, 2024)

Distill Visual Chart Reasoning Ability from LLMs to MLLMs. - Wei He 024; Zhiheng Xi; Wanxu Zhao; Xiaoran Fan; Yiwen Ding; Zifei Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Multi-Programming Language Sandbox for LLMs. - Shihan Dou; Jiazheng Zhang; Jianxiang Zang; Yunbo Tao; Haoxiang Jia; Shichun Liu; Yuming Yang; Shenxi Wu; Shaoqing Zhang; Muling Wu; Changze Lv; Limao Xiong; et al. (CoRR, 2024)

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Yiwen Ding; Zhiheng Xi; Wei He 024; Zhuoyuan Li; Yitao Zhai; Xiaowei Shi; Xunliang Cai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. - Zhiheng Xi; Dingwen Yang; Jixuan Huang; Jiafu Tang; Guanyu Li; Yiwen Ding; Wei He 024; Boyang Hong; Shihan Dou; Wenyu Zhan; Xiao Wang 001; Rui Zheng; et al. (CoRR, 2024)

Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning. - Wujian Peng; Lingchen Meng; Yitong Chen; Yiweng Xie; Yang Liu; Tao Gui; Hang Xu 004; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2024)

UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts. - Zhen Wan; Yue Ma; Chenyang Qi; Zhiheng Liu; Tao Gui (CoRR, 2024)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. - Junjie Ye; Yilong Wu; Sixian Li; Yuming Yang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Peng Wang 095; Zhongchao Shi; Jianping Fan 007; Zhengyin Du (CoRR, 2024)

Visual Explanation for Open-Domain Question Answering With BERT. - Zekai Shao; Shuran Sun; Yuheng Zhao; Siyuan Wang; Zhongyu Wei; Tao Gui; Cagatay Turkay; Siming Chen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. - Shihan Dou; Yan Liu 002; Enyu Zhou; Songyang Gao; Tianlong Li; Limao Xiong; Xin Zhao; Haoxiang Jia; Junjie Ye; Rui Zheng; Tao Gui; Qi Zhang 001; et al. (AAAI, 2025)

Better Process Supervision with Bi-directional Rewarding Signals. - Wenxiang Chen; Wei He 024; Zhiheng Xi; Honglin Guo; Boyang Hong; Jiazheng Zhang; Nijun Li; Tao Gui; Yun Li; Qi Zhang 001; Xuanjing Huang 001 (ACL (Findings), 2025)

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. - Shihan Dou; Jiayi Chen; Chenhao Huang; Feng Chen 042; Wei Chengzhi; Huiyuan Zheng; Shichun Liu; Yan Liu 002; Chenxiao Liu; Chao Xin; Lin Yan; Zongzhang Zhang; et al. (ACL (1), 2025)

CritiQ: Mining Data Quality Criteria from Human Preferences. - Honglin Guo; Kai Lv 001; Qipeng Guo; Tianyi Liang; Zhiheng Xi; Demin Song; Qiuyinzhe Zhang; Yu Sun 031; Kai Chen 026; Xipeng Qiu; Tao Gui (ACL (1), 2025)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. - Tao Ji; Bin Guo; Yuanbin Wu; Qipeng Guo; Shenlixing Shenlixing; Chenzhan Chenzhan; Xipeng Qiu; Qi Zhang 001; Tao Gui (ACL (1), 2025)

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. - Zhiheng Xi; Yiwen Ding; Wenxiang Chen; Boyang Hong; Honglin Guo; Junzhe Wang; Xin Guo; Dingwen Yang; Chenyang Liao; Wei He 024; Songyang Gao; Lu Chen; et al. (ACL (1), 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ACL (1), 2025)

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. - Junjie Ye; Zhengyin Du; Xuesong Yao; Weijian Lin; Yufei Xu; Zehui Chen; Zaiyuan Wang; Sining Zhu; Zhiheng Xi; Siyu Yuan; Tao Gui; Qi Zhang 001; et al. (ACL (1), 2025)

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. - Ming Zhang 030; Yuhui Wang; Yujiong Shen; Tingyi Yang; Changhao Jiang; Yilong Wu; Shihan Dou; Qinhao Chen; Zhiheng Xi; Zhihao Zhang 002; Yi Dong; Zhen Wang 020; et al. (ACL (Findings), 2025)

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. - Yuming Yang; Wantong Zhao; Caishuang Huang; Junjie Ye; Xiao Wang; Huiyuan Zheng; Yang Nan; Yuran Wang; Xueying Xu; Kaixin Huang; Yunke Zhang; Tao Gui; et al. (COLING, 2025)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Junjie Ye; Guanyu Li; Songyang Gao; Caishuang Huang; Yilong Wu; Sixian Li; Xiaoran Fan; Shihan Dou; Tao Ji; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (COLING, 2025)

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. - Yongting Zhang; Lu Chen; Guodong Zheng; Yifeng Gao; Rui Zheng; Jinlan Fu; Zhenfei Yin; Senjie Jin; Yu Qiao 001; Xuanjing Huang 001; Feng Zhao 004; Tao Gui; et al. (CVPR, 2025)

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. - Shuo Li; Tao Ji; Xiaoran Fan; Linsheng Lu; Leyi Yang; Yuming Yang; Zhiheng Xi; Rui Zheng; Yuran Wang; Xiaohui Zhao; Tao Gui; Qi Zhang 001; et al. (ICLR, 2025)

RMB: Comprehensively benchmarking reward models in LLM alignment. - Enyu Zhou; Guodong Zheng; Binghai Wang; Zhiheng Xi; Shihan Dou; Rong Bao; Wei Shen; Limao Xiong; Jessica Fan; Yurong Mou; Rui Zheng; Tao Gui; et al. (ICLR, 2025)

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. - Yiwen Ding; Zhiheng Xi; Wei He 024; Lizhuoyuan Lizhuoyuan; Yitao Zhai; Shi Xiaowei; Xunliang Cai; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (NAACL (Long Papers), 2025)

The rise and potential of large language model based agents: a survey. - Zhiheng Xi; Wenxiang Chen; Xin Guo; Wei He 024; Yiwen Ding; Boyang Hong; Ming Zhang 030; Junzhe Wang; Senjie Jin; Enyu Zhou; Rui Zheng; Xiaoran Fan; et al. (Sci. China Inf. Sci., 2025)

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training. - Changhao Jiang; Ming Zhang 030; Junjie Ye; Xiaoran Fan; Yifei Cao; Jiajun Sun; Zhiheng Xi; Shihan Dou; Yi Dong; Yujiong Shen; Jingqi Tong; Zhen Wang 020; et al. (CoRR, 2025)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models. - Xin Zhou 012; Yiwen Guo; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs. - Tao Ji; Bin Guo; Yuanbin Wu; Qipeng Guo; Lixing Shen; Zhan Chen; Xipeng Qiu; Qi Zhang 001; Tao Gui (CoRR, 2025)

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. - Yuming Yang; Yang Nan; Junjie Ye; Shihan Dou; Xiao Wang; Shuo Li; Huijie Lv; Mingqi Wu; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

CritiQ: Mining Data Quality Criteria from Human Preferences. - Honglin Guo; Kai Lv 001; Qipeng Guo; Tianyi Liang; Zhiheng Xi; Demin Song; Qi Zhang 001; Yu Sun 031; Kai Chen 026; Xipeng Qiu; Tao Gui (CoRR, 2025)

Better Process Supervision with Bi-directional Rewarding Signals. - Wenxiang Chen; Wei He 024; Zhiheng Xi; Honglin Guo; Boyang Hong; Jiazheng Zhang; Rui Zheng; Nijun Li; Tao Gui; Yun Li; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. - Shuo Li; Jiajun Sun; Guodong Zheng; Xiaoran Fan; Yujiong Shen; Yi Lu; Zhiheng Xi; Yuming Yang; Wenming Tan; Tao Ji; Tao Gui; Qi Zhang 001; et al. (CoRR, 2025)

Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves. - Wenjuan Qin; Weiran Wang; Yuming Yang; Tao Gui (CoRR, 2025)

Improving RL Exploration for LLM Reasoning through Retrospective Replay. - Shihan Dou; Muling Wu; Jingwen Xu; Rui Zheng; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation. - Yi Lu; Wanxu Zhao; Xin Zhou 012; Chenxin An; Chenglong Wang; Shuo Li; Yuming Yang; Jun Zhao 019; Tao Ji; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models. - Junjie Ye; Caishuang Huang; Zhuohan Chen; Wenjie Fu 013; Chenyuan Yang; Leyi Yang; Yilong Wu; Peng Wang 095; Meng Zhou; Xiaolong Yang; Tao Gui; Qi Zhang 001; et al. (CoRR, 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment. - Jiazheng Zhang; Wenqing Jing; Zizhuo Zhang; Zhiheng Xi; Shihan Dou; Rongxiang Weng; Jiahuan Li; Jingang Wang; Mingxu Chai; Shibo Hong; Tao Gui; Qi Zhang 001 (CoRR, 2025)

Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning. - Jingqi Tong; Jixin Tang; Hangcheng Li; Yurong Mou; Ming Zhang 030; Jun Zhao 019; Yanbo Wen; Fan Song; Jiahao Zhan; Yuyang Lu; Chaoran Tao; Zhiyuan Guo; et al. (CoRR, 2025)

Compression Hacking: A Supplementary Perspective on Informatics Metric of Language Models from Geometric Distortion. - Jianxiang Zang; Meiling Ning; Yongda Wei; Shihan Dou; Jiazheng Zhang; Nijia Mo; Binhong Li; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. - Shihan Dou; Ming Zhang 030; Chenhao Huang; Jiayi Chen; Feng Chen 042; Shichun Liu; Yan Liu 002; Chenxiao Liu; Cheng Zhong; Zongzhang Zhang; Tao Gui; Chao Xin; et al. (CoRR, 2025)

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. - Ming Zhang 030; Yujiong Shen; Zelin Li; Huayu Sha; Binze Hu; Yuhui Wang; Chenhao Huang; Shichun Liu; Jingqi Tong; Changhao Jiang; Mingxu Chai; Zhiheng Xi; et al. (CoRR, 2025)

Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction. - Xiaoran Fan; Zhichao Sun; Yangfan Gao; Jingfei Xiong; Hang Yan 001; Yifei Cao; Jiajun Sun; Shuo Li; Zhihao Zhang 002; Zhiheng Xi; Yuhao Zhou; Senjie Jin; et al. (CoRR, 2025)

Reinforcement Fine-Tuning Enables MLLMs Learning Novel Tasks Stably. - Zhihao Zhang 002; Qiaole Dong; Qi Zhang 001; Jun Zhao 019; Enyu Zhou; Zhiheng Xi; Senjie Jin; Xiaoran Fan; Yuhao Zhou; Yanwei Fu 001; Tao Ji; Tao Gui; et al. (CoRR, 2025)

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset. - Zhiheng Xi; Guanyu Li; Yutao Fan; Honglin Guo; Yufang Liu; Xiaoran Fan; Jiaqi Liu; Jingchao Ding; Wangmeng Zuo; Zhenfei Yin; Lei Bai 001; Tao Ji; et al. (CoRR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Demin Song; Haijun Lv; Songyang Gao; Chengqi Lv; et al. (CoRR, 2025)

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents. - Changhao Jiang; Jiajun Sun; Yifei Cao; Jiabao Zhuang; Hui Li; Xiaoran Fan; Ming Zhang 030; Junjie Ye; Shihan Dou; Zhiheng Xi; Jingqi Tong; Yilong Wu; et al. (CoRR, 2025)

Mitigating Attention Hacking in Preference-Based Reward Modeling via Interaction Distillation. - Jianxiang Zang; Meiling Ning; Shihan Dou; Jiazheng Zhang; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision. - Dingwei Zhu; Shihan Dou; Zhiheng Xi; Senjie Jin; Guoqiang Zhang; Jiazheng Zhang; Junjie Ye; Mingxu Chai; Enyu Zhou; Ming Zhang 030; Caishuang Huang; Yunke Zhang; et al. (CoRR, 2025)

MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning. - Liujian Tang; Shaokang Dong; Yijia Huang; Minqi Xiang; Hongtao Ruan; Bin Wang; Shuo Li; Zhiheng Xi; Zhihui Cao; Hailiang Pang; Heng Kong; He Yang; et al. (CoRR, 2025)

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. - Ming Zhang 030; Yujiong Shen; Jingyi Deng; Yuhui Wang; Yue Zhang 004; Junzhe Wang; Shichun Liu; Shihan Dou; Huayu Sha; Qiyuan Peng; Changhao Jiang; Jingqi Tong; et al. (CoRR, 2025)