AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. - Erik Cambria; Jie Fu 001; Federica Bisio; Soujanya Poria (AAAI, 2015)

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. - Jie Fu 001; Hongyin Luo; Jiashi Feng; Kian Hsiang Low; Tat-Seng Chua (IJCAI, 2016)

Multi-task Learning over Graph Structures. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (CoRR, 2018)

Learning Multi-Task Communication with Message Passing for Sequence Learning. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (AAAI, 2019)

TIGS: An Inference Algorithm for Text Infilling with Gradient Search. - Dayiheng Liu; Jie Fu 001; Pengfei Liu 003; Jiancheng Lv 001 (ACL (1), 2019)

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. - Yi Tay; Shuohang Wang; Anh Tuan Luu; Jie Fu 001; Minh C. Phan; Xingdi Yuan; Jinfeng Rao; Siu Cheung Hui; Aston Zhang (ACL (1), 2019)

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. - Yi Tay; Aston Zhang; Anh Tuan Luu; Jinfeng Rao; Shuai Zhang 007; Shuohang Wang; Jie Fu 001; Siu Cheung Hui (ACL (1), 2019)

Graph Neural Networks with Generated Parameters for Relation Extraction. - Hao Zhu 006; Yankai Lin; Zhiyuan Liu 001; Jie Fu 001; Tat-Seng Chua; Maosong Sun 001 (ACL (1), 2019)

Dataflow-Based Joint Quantization for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (DCC, 2019)

Structure Learning for Neural Module Networks. - Vardaan Pahuja; Jie Fu 001; Sarath Chandar; Christopher Joseph Pal (LANTERN@EMNLP-IJCNLP, 2019)

Interactive Language Learning by Question Answering. - Xingdi Yuan; Marc-Alexandre Côté; Jie Fu 001; Zhouhan Lin; Chris Pal; Yoshua Bengio; Adam Trischler (EMNLP/IJCNLP (1), 2019)

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (CoRR, 2019)

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (CoRR, 2019)

Conditional Computation for Continual Learning. - Min Lin; Jie Fu 001; Yoshua Bengio (CoRR, 2019)

Exploring Domain Shift in Extractive Text Summarization. - Danqing Wang; Pengfei Liu 003; Ming Zhong 005; Jie Fu 001; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

Learning Sparse Mixture of Experts for Visual Question Answering. - Vardaan Pahuja; Jie Fu 001; Christopher J. Pal (CoRR, 2019)

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. - Dayiheng Liu; Jie Fu 001; Qian Qu; Jiancheng Lv 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. - Dayiheng Liu; Jie Fu 001; Yidan Zhang; Chris Pal; Jiancheng Lv 001 (AAAI, 2020)

RikiNet: Reading Wikipedia Pages for Natural Question Answering. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Daxin Jiang; Jiancheng Lv 001; Nan Duan (ACL, 2020)

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. - Yi Tay; Donovan Ong; Jie Fu 001; Alvin Chan; Nancy F. Chen; Anh Tuan Luu; Chris Pal (ACL, 2020)

Interactive Machine Comprehension with Information Seeking Agents. - Xingdi Yuan; Jie Fu 001; Marc-Alexandre Côté; Yi Tay; Chris Pal; Adam Trischler (ACL, 2020)

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Jiancheng Lv 001; Nan Duan; Ming Zhou 001 (EMNLP (1), 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Yu Yan; Jie Fu 001; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (EMNLP (1), 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Wei Liu; Yu Yan; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (CoRR, 2020)

Role-Wise Data Augmentation for Knowledge Distillation. - Jie Fu 001; Xue Geng; Zhijian Duan 001; Bohan Zhuang; Xingdi Yuan; Adam Trischler; Jie Lin 001; Chris Pal; Hao Dong 003 (CoRR, 2020)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

On Orthogonality Constraints for Transformers. - Aston Zhang; Alvin Chan; Yi Tay; Jie Fu 001; Shuohang Wang; Shuai Zhang 007; Huajie Shao; Shuochao Yao; Roy Ka-Wei Lee (ACL/IJCNLP (2), 2021)

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. - Yuwei Cheng; Jiannan Zhu; Mengxin Jiang; Jie Fu 001; Changsong Pang; Peidong Wang; Kris Sankaran; Olawale Onabola; Yimin Liu; Dianbo Liu; Yoshua Bengio (ICCV, 2021)

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. - Aston Zhang; Yi Tay; Shuai Zhang 007; Alvin Chan; Anh Tuan Luu; Siu Cheung Hui; Jie Fu 001 (ICLR, 2021)

Learning Multi-Objective Curricula for Deep Reinforcement Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Chris Pal; Xue Liu 001; Jie Fu 001 (CoRR, 2021)

Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond. - Dinghuai Zhang; Jie Fu 001; Yoshua Bengio; Aaron C. Courville (CoRR, 2021)

Pre-trained Language Models in Biomedical Domain: A Systematic Survey. - Benyou Wang; Qianqian Xie; Jiahuan Pei; Prayag Tiwari; Zhao Li; Jie Fu 001 (CoRR, 2021)

1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector. - Xingran Chen; Ge Zhang 009; Adam Nik; Mingyu Li; Jie Fu 001 (CASE@EMNLP, 2022)

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data. - Adam Nik; Ge Zhang 009; Xingran Chen; Mingyu Li; Jie Fu 001 (CASE@EMNLP, 2022)

Learning Multi-Objective Curricula for Robotic Policy Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Christopher Pal; Xue (Steve) Liu; Jie Fu 001 (CoRL, 2022)

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. - Youcheng Huang; Wenqiang Lei; Jie Fu 001; Jiancheng Lv 001 (EMNLP (Findings), 2022)

Unifying Likelihood-free Inference with Black-box Optimization and Beyond. - Dinghuai Zhang; Jie Fu 001; Yoshua Bengio; Aaron C. Courville (ICLR, 2022)

Biological Sequence Design with GFlowNets. - Moksh Jain; Emmanuel Bengio; Alex Hernández-García; Jarrid Rector-Brooks; Bonaventure F. P. Dossou; Chanakya Ajit Ekbote; Jie Fu 001; Tianyu Zhang; Michael Kilgour; Dinghuai Zhang; Lena Simine; Payel Das; et al. (ICML, 2022)

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. - Yizhi Li; Ge Zhang 009; Bohao Yang; Chenghua Lin; Anton Ragni; Shi Wang 002; Jie Fu 001 (AACL/IJCNLP (Findings), 2022)

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. - Shaoxiong Ji; Tianlin Zhang; Luna Ansari; Jie Fu 001; Prayag Tiwari; Erik Cambria (LREC, 2022)

Bidirectional Learning for Offline Infinite-width Model-based Optimization. - Can Chen 005; Yingxue Zhang 001; Jie Fu 001; Xue (Steve) Liu; Mark Coates (NeurIPS, 2022)

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Zhijie Hu; Haoyu He; Emmanouil Benetos; Norbert Gyenge; et al. (CoRR, 2022)

Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. - Mingfeng Xue; Dayiheng Liu; Wenqiang Lei; Jie Fu 001; Jian Lan; Mei Li; Baosong Yang; Jun Xie; Yidan Zhang; Dezhong Peng; Jiancheng Lv 001 (EMNLP, 2023)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. - Shuai Zhao 007; Jinming Wen; Anh Tuan Luu; Junbo Zhao; Jie Fu 001 (EMNLP, 2023)

On the Effectiveness of Speech Self-Supervised Learning for Music. - Yinghao Ma; Ruibin Yuan; Yizhi Li; Ge Zhang 009; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Emmanouil Benetos; Norbert Gyenge; Ruibo Liu; Gus Xia; et al. (ISMIR, 2023)

LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT. - Le Zhuo; Ruibin Yuan; Jiahao Pan; Yinghao Ma; Yizhi Li; Ge Zhang 009; Si Liu; Roger B. Dannenberg; Jie Fu 001; Chenghua Lin; Emmanouil Benetos; Wenhu Chen; et al. (ISMIR, 2023)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 2023)

MARBLE: Music Audio Representation Benchmark for Universal Evaluation. - Ruibin Yuan; Yinghao Ma; Yizhi Li; Ge Zhang 009; Xingran Chen; Hanzhi Yin; Le Zhuo; Yiqi Liu; Jiawen Huang; Zeyue Tian; Binyue Deng; Ningzhi Wang; et al. (NeurIPS, 2023)

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning. - Haiteng Zhao; Shengchao Liu; Chang Ma; Hannan Xu; Jie Fu 001; Zhihong Deng 001; Lingpeng Kong; Qi Liu 049 (NeurIPS, 2023)

CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation. - Ge Zhang 009; Yizhi Li; Yaoyao Wu; Linyuan Zhang; Chenghua Lin; Jiayi Geng; Shi Wang 002; Jie Fu 001 (CoRR, 2023)

A Pathway Towards Responsible AI Generated Content. - Chen Chen 043; Jie Fu 001; Lingjuan Lyu (CoRR, 2023)

Modular Retrieval for Generalization and Interpretation. - Juhao Liang; Chen Zhang 020; Zhengyang Tang; Jie Fu 001; Dawei Song 001; Benyou Wang (CoRR, 2023)

Chain of Thought Prompt Tuning in Vision Language Models. - Jiaxin Ge; Hongyin Luo; Siyuan Qian; Yulu Gan; Jie Fu 001; Shanghang Zhang (CoRR, 2023)

Chinese Open Instruction Generalist: A Preliminary Release. - Ge Zhang 009; Yemin Shi 001; Ruibo Liu; Ruibin Yuan; Yizhi Li; Siwei Dong; Yu Shu; Zhaoqun Li; Zekun Wang; Chenghua Lin; Wenhao Huang 001; Jie Fu 001 (CoRR, 2023)

Huatuo-26M, a Large-scale Chinese Medical QA Dataset. - Jianquan Li; Xidong Wang; Xiangbo Wu; Zhiyi Zhang 007; Xiaolong Xu; Jie Fu 001; Prayag Tiwari; Xiang Wan; Benyou Wang (CoRR, 2023)

Interactive Natural Language Processing. - Zekun Wang; Ge Zhang 009; Kexin Yang 002; Ning Shi; Wangchunshu Zhou; Shaochun Hao; Guangzheng Xiong; Yizhi Li; Mong Yuan Sim; Xiuying Chen; Qingqing Zhu; Zhenzhu Yang; et al. (CoRR, 2023)

TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module. - Xingran Chen; Ge Zhang 009; Jie Fu 001 (CoRR, 2023)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; Ruibo Liu; et al. (CoRR, 2023)

Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork. - Yonggang Jin; Chenxu Wang; Liuyu Xiang; Yaodong Yang 001; Jie Fu 001; Zhaofeng He (CoRR, 2023)

Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. - Jingbang Chen; Yian Wang; Xingwei Qu; Shuangjia Zheng; Yaodong Yang 001; Hao Dong 003; Jie Fu 001 (CoRR, 2023)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Zekun Moore Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Man Zhang 005; Zhaoxiang Zhang 001; Wanli Ouyang; et al. (CoRR, 2023)

Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures? - Zihan Qiu; Zeyu Huang; Jie Fu 001 (CoRR, 2023)

Heterogenous Memory Augmented Neural Networks. - Zihan Qiu; Zhen Liu; Shuicheng Yan; Shanghang Zhang; Jie Fu 001 (CoRR, 2023)

AI Alignment: A Comprehensive Survey. - Jiaming Ji; Tianyi Qiu; Boyuan Chen 008; Borong Zhang; Hantao Lou; Kaile Wang; Yawen Duan; Zhonghao He; Jiayi Zhou; Zhaowei Zhang; Fanzhi Zeng; Kwan Yee Ng; et al. (CoRR, 2023)

SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. - Fangxin Shang; Jie Fu 001; Yehui Yang; Haifeng Huang; Junwei Liu; Lei Ma 008 (CoRR, 2023)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

A Survey of Reasoning with Foundation Models. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 002; Wenhai Wang; et al. (CoRR, 2023)

TACO: Topics in Algorithmic COde generation dataset. - Rongao Li; Jie Fu 001; Bo-Wen Zhang 011; Tao Huang; Zhihong Sun; Chen Lyu 001; Guang Liu 006; Zhi Jin; Ge Li 001 (CoRR, 2023)

Align on the Fly: Adapting Chatbot Behavior to Established Norms. - Chunpu Xu; Steffi Chern; Ethan Chern; Ge Zhang 009; Zekun Wang; Ruibo Liu; Jing Li; Jie Fu 001; Pengfei Liu 003 (CoRR, 2023)

Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. - Jie Chen 001; Zhiwei Nie; Yu Wang; Kai Wang; Fan Xu; Zhiheng Hu; Bing Zheng; Zhennan Wang 001; Guoli Song; Jingyi Zhang; Jie Fu 001; Xiansong Huang; et al. (Int. J. High Perform. Comput. Appl., 2023)

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. - Ruiyuan Zhang; Jiaxiang Liu; Zexi Li 001; Hao Dong 003; Jie Fu 001; Chao Wu 001 (AAAI, 2024)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. - Yizhi Li; Ge Zhang 009; Xingwei Qu; Jiali Li; Zhaoqun Li; Noah Wang; Hao Li 074; Ruibin Yuan; Yinghao Ma; Kai Zhang 033; Wangchunshu Zhou; Yiming Liang; et al. (ACL (Findings), 2024)

E2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (ACL (Findings), 2024)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Noah Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Jian Yang 030; Man Zhang 005; Zhaoxiang Zhang 001; et al. (ACL (Findings), 2024)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. - Siwei Wu; Yizhi Li; Kang Zhu; Ge Zhang 009; Yiming Liang; Kaijing Ma; Chenghao Xiao; Haoran Zhang; Bohao Yang; Wenhu Chen; Wenhao Huang 001; Noura Al Moubayed; et al. (ACL (Findings), 2024)

ChatMusician: Understanding and Generating Music Intrinsically with LLM. - Ruibin Yuan; Hanfeng Lin; Yi Wang 033; Zeyue Tian; Shangda Wu; Tianhao Shen; Ge Zhang 009; Yuhang Wu; Cong Liu; Ziya Zhou; Liumeng Xue; Ziyang Ma 001; et al. (ACL (Findings), 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)

HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. - Hao Zhao; Zihan Qiu; Huijia Wu; Zili Wang; Zhaofeng He; Jie Fu 001 (ACL (1), 2024)

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. - Tianyu Zheng; Ge Zhang 009; Tianhao Shen; Xueling Liu; Bill Yuchen Lin; Jie Fu 001; Wenhu Chen; Xiang Yue (ACL (Findings), 2024)

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. - Yujie Shao; Xinrong Yao; Xingwei Qu; Chenghua Lin; Shi Wang 002; Wenhao Huang 001; Ge Zhang 009; Jie Fu 001 (LREC/COLING, 2024)

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. - Cong Wei 001; Yang Chen; Haonan Chen; Hexiang Hu; Ge Zhang 009; Jie Fu 001; Alan Ritter; Wenhu Chen (ECCV (87), 2024)

Unlocking Continual Learning Abilities in Language Models. - Wenyu Du; Shuang Cheng; Tongxu Luo; Zihan Qiu; Zeyu Huang; Ka Chun Cheung; Reynold Cheng; Jie Fu 001 (EMNLP (Findings), 2024)

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. - Noah Wang; Feiyu Duan; Yibo Zhang; Wangchunshu Zhou; Ke Xu 001; Wenhao Huang 001; Jie Fu 001 (EMNLP (Findings), 2024)

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. - Chi-Min Chan; Weize Chen; Yusheng Su; Jianxuan Yu; Wei Xue 002; Shanghang Zhang; Jie Fu 001; Zhiyuan Liu 001 (ICLR, 2024)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghao Xiao; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; et al. (ICLR, 2024)

Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. - Zihan Qiu; Zeyu Huang; Youcheng Huang; Jie Fu 001 (Tiny Papers @ ICLR, 2024)

Massive Editing for Large Language Models via Meta Learning. - Chenmien Tan; Ge Zhang 009; Jie Fu 001 (ICLR, 2024)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. - Miao Xiong; Zhiyuan Hu; Xinyang Lu; Yifei Li; Jie Fu 001; Junxian He; Bryan Hooi (ICLR, 2024)

Think Before You Act: Decision Transformers with Working Memory. - Jikun Kang; Romain Laroche; Xingdi Yuan; Adam Trischler; Xue Liu 001; Jie Fu 001 (ICML, 2024)

AutoAgents: A Framework for Automatic Agent Generation. - Guangyao Chen; Siwei Dong; Yu Shu; Ge Zhang 009; Jaward Sesay; Börje Karlsson 001; Jie Fu 001; Yemin Shi 001 (IJCAI, 2024)

ComposerX: Multi-Agent Symbolic Music Composition With LLMs. - Qixin Deng; Qikai Yang; Ruibin Yuan; Yipeng Huang; Yi Wang 033; Xubo Liu 001; Zeyue Tian; Jiahao Pan; Ge Zhang 009; Hanfeng Lin; Yizhi Li; Yinghao Ma; et al. (ISMIR, 2024)

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. - Zejun Li; Ye Wang; Mengfei Du; Qingwen Liu 002; Binhao Wu; Jiwen Zhang; Chengxing Zhou; Zhihao Fan; Jie Fu 001; Jingjing Chen 001; Zhongyu Wei; Xuanjing Huang 001 (ACM Multimedia, 2024)

Unlocking Emergent Modularity in Large Language Models. - Zihan Qiu; Zeyu Huang; Jie Fu 001 (NAACL-HLT, 2024)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. - Shuai Zhao 007; Leilei Gan; Anh Tuan Luu; Jie Fu 001; Lingjuan Lyu; Meihuizi Jia; Jinming Wen (NAACL-HLT (Findings), 2024)

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. - Wenyu Du; Tongxu Luo; Zihan Qiu; Zeyu Huang; Yikang Shen; Reynold Cheng; Yike Guo; Jie Fu 001 (NeurIPS, 2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. - Haoran Que; Jiaheng Liu; Ge Zhang 009; Chenchen Zhang; Xingwei Qu; Yinghao Ma; Feiyu Duan; Zhiqi Bai; Jiakai Wang; Yuanxing Zhang; Xu Tan 003; Jie Fu 001; et al. (NeurIPS, 2024)

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. - Tianyu Zheng; Shuyue Guo; Xingwei Qu; Jiawei Guo; Weixu Zhang; Xinrun Du; Chenghua Lin; Wenhao Huang 001; Wenhu Chen; Jie Fu 001; Ge Zhang 009 (CoRR, 2024)

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. - Jiaheng Liu; Zhiqi Bai; Yuanxing Zhang; Chenchen Zhang; Yu Zhang 176; Ge Zhang 009; Jiakai Wang; Haoran Que; Yukang Chen; Wenbo Su; Tiezheng Ge; Jie Fu 001; et al. (CoRR, 2024)

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. - Ge Zhang 009; Xinrun Du; Bei Chen; Yiming Liang; Tongxu Luo; Tianyu Zheng; Kang Zhu; Yuyang Cheng; Chunpu Xu; Shuyue Guo; Haoran Zhang; Xingwei Qu; et al. (CoRR, 2024)

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction. - Yonggang Jin; Ge Zhang 009; Hao Zhao; Tianyu Zheng; Jiawei Guo; Liuyu Xiang; Shawn Yue; Stephen W. Huang; Wenhu Chen; Zhaofeng He; Jie Fu 001 (CoRR, 2024)

HyperMoE: Paying Attention to Unselected Experts in Mixture of Experts via Dynamic Transfer. - Hao Zhao; Zihan Qiu; Huijia Wu; Zili Wang; Zhaofeng He; Jie Fu 001 (CoRR, 2024)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. - Yizhi Li; Ge Zhang 009; Xingwei Qu; Jiali Li; Zhaoqun Li; Zekun Wang; Hao Li 074; Ruibin Yuan; Yinghao Ma; Kai Zhang 033; Wangchunshu Zhou; Yiming Liang; et al. (CoRR, 2024)

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. - Yujie Shao; Xinrong Yao; Xingwei Qu; Chenghua Lin; Shi Wang 002; Stephen W. Huang; Ge Zhang 009; Jie Fu 001 (CoRR, 2024)

ChatMusician: Understanding and Generating Music Intrinsically with LLM. - Ruibin Yuan; Hanfeng Lin; Yi Wang 033; Zeyue Tian; Shangda Wu; Tianhao Shen; Ge Zhang 009; Yuhang Wu; Cong Liu; Ziya Zhou; Ziyang Ma 001; Liumeng Xue; et al. (CoRR, 2024)

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. - Alex Zhuang; Ge Zhang 009; Tianyu Zheng; Xinrun Du; Junjie Wang; Weiming Ren; Stephen W. Huang; Jie Fu 001; Xiang Yue; Wenhu Chen (CoRR, 2024)

m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers. - Ka Man Lo; Yiming Liang; Wenyu Du; Yuantao Fan; Zili Wang; Wenhao Huang 001; Lei Ma 008; Jie Fu 001 (CoRR, 2024)

DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. - Xingwei Qu; Yiming Liang; Yucheng Wang; Tianyu Zheng; Tommy Yue; Lei Ma 008; Stephen W. Huang; Jiajun Zhang; Wenhu Chen; Chenghua Lin; Jie Fu 001; Ge Zhang 009 (CoRR, 2024)

Electrocardiogram Instruction Tuning for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Zhenwu Peng; Jie Fu 001; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (CoRR, 2024)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. - Yuelin Bai; Xinrun Du; Yiming Liang; Yonggang Jin; Ziqiang Liu; Junting Zhou; Tianyu Zheng; Xincheng Zhang; Nuo Ma; Zekun Wang; Ruibin Yuan; Haihong Wu; et al. (CoRR, 2024)

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. - Chi-Min Chan; Chunpu Xu; Ruibin Yuan; Hongyin Luo; Wei Xue 002; Yike Guo; Jie Fu 001 (CoRR, 2024)

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. - Chen Yang; Junzhuo Li; Xinyao Niu; Xinrun Du; Songyang Gao; Haoran Zhang; Zhaoliang Chen; Xingwei Qu; Ruibin Yuan; Yizhi Li; Jiaheng Liu; Stephen W. Huang; et al. (CoRR, 2024)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. - Jiawei Guo; Ziming Li; Xueling Liu; Kaijing Ma; Tianyu Zheng; Zhouliang Yu; Ding Pan; Yizhi Li; Ruibo Liu; Yue Wang; Shuyue Guo; Xingwei Qu; et al. (CoRR, 2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. - Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma 001; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; et al. (CoRR, 2024)

MuPT: A Generative Symbolic Music Pretrained Transformer. - Xingwei Qu; Yuelin Bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xinrun Du; Shuyue Guo; et al. (CoRR, 2024)

VCR: Visual Caption Restoration. - Tianyu Zhang; Suyuchen Wang; Lu Li; Ge Zhang 009; Perouz Taslakian; Sai Rajeswar; Jie Fu 001; Bang Liu; Yoshua Bengio (CoRR, 2024)

A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures. - Shuai Zhao 007; Meihuizi Jia; Zhongliang Guo 001; Leilei Gan; Jie Fu 001; Yichao Feng; Fengjun Pan; Luu Anh Tuan (CoRR, 2024)

GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory. - Haoze Wu; Zihan Qiu; Zili Wang; Hang Zhao; Jie Fu 001 (CoRR, 2024)

PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents. - Junjie Wang; Yin Zhang; Yatai Ji; Yuxiang Zhang 006; Chunyang Jiang; Yubo Wang; Kang Zhu; Zekun Wang; Tiezhen Wang; Wenhao Huang 001; Jie Fu 001; Bei Chen; et al. (CoRR, 2024)

MIO: A Foundation Model on Multimodal Tokens. - Zekun Wang; King Zhu; Chunpu Xu; Wangchunshu Zhou; Jiaheng Liu; Yibo Zhang; Jiashuo Wang; Ning Shi; Siyu Li; Yizhi Li; Haoran Que; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. - Zekun Wang; Feiyu Duan; Yibo Zhang; Wangchunshu Zhou; Ke Xu 001; Wenhao Huang 001; Jie Fu 001 (CoRR, 2024)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shawn Wang; Kang Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (CoRR, 2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Jiaran Hao; Liuyihan Song; Yang Xu; J. Yang; J. H. Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

Exploring Clean Label Backdoor Attacks and Defense in Language Models. - Shuai Zhao 007; Luu Anh Tuan; Jie Fu 001; Jinming Wen; Weiqi Luo 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Pre-trained Language Models in Biomedical Domain: A Systematic Survey. - Benyou Wang; Qianqian Xie; Jiahuan Pei; Zhihong Chen; Prayag Tiwari; Zhao Li; Jie Fu 001 (ACM Comput. Surv., 2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Weidi Xu; Jiaran Hao; Liuyihan Song; Yang Xu; Jian Yang 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 2025)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shenzhi Wang; King Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (ACL (1), 2025)

Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking. - Yifan Zhang; Wenyu Du; Dongming Jin; Jie Fu 001; Zhi Jin (ACL (1), 2025)

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. - Lu Li; Tianyu Zhang; Zhiqi Bu; Suyuchen Wang; Huan He; Jie Fu 001; Yonghui Wu; Jiang Bian 002; Yong Chen 016; Yoshua Bengio (ICLR, 2025)

Layerwise Recurrent Router for Mixture-of-Experts. - Zihan Qiu; Zeyu Huang; Shuang Cheng; Yizhi Zhou; Zili Wang; Ivan Titov 001; Jie Fu 001 (ICLR, 2025)

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. - Tianyu Zhang; Suyuchen Wang; Lu Li; Ge Zhang 009; Perouz Taslakian; Sai Rajeswar; Jie Fu 001; Bang Liu; Yoshua Bengio (ICLR, 2025)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. - Yuelin Bai; Xeron Du; Yiming Liang; Leo Jin; Junting Zhou; Ziqiang Liu; Feiteng Fang; Mingshan Chang; Tianyu Zheng; Xincheng Zhang; Nuo Ma; Zekun Moore Wang; et al. (NAACL (Findings), 2025)

A Closer Look into Mixture-of-Experts in Large Language Models. - Ka Man Lo; Zeyu Huang; Zihan Qiu; Zili Wang; Jie Fu 001 (NAACL (Findings), 2025)

Huatuo-26M, a Large-scale Chinese Medical QA Dataset. - Xidong Wang; Jianquan Li; Shunian Chen; Yuxuan Zhu; Xiangbo Wu; Zhiyi Zhang 007; Xiaolong Xu; Junying Chen; Jie Fu 001; Xiang Wan; Anningzhe Gao; Benyou Wang (NAACL (Findings), 2025)

Enhancing Language Model Hypernetworks with Restart: A Study on Optimization. - Yihan Zhang; Jie Fu 001; Rongrong Ji; Jie Chen 006 (NAACL (Long Papers), 2025)

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence. - Zhiwei Nie; Yiming Ma; Yutian Liu 004; Xiansong Huang; Zhihong Liu; Peng Yang 001; Fan Xu; Feng Yin; Zigang Li; Jie Fu 001; Zhixiang Ren; Wen-Bin Zhang; et al. (Briefings Bioinform., 2025)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models. - Shuai Zhao 007; Meihuizi Jia; Zhongliang Guo 001; Leilei Gan; Xiaoyu Xu; Xiaobao Wu; Jie Fu 001; Yichao Feng; Fengjun Pan; Anh Tuan Luu (Trans. Mach. Learn. Res., 2025)

Generating Symbolic World Models via Test-time Scaling of Large Language Models. - Zhouliang Yu; Yuhuan Yuan; Tim Z. Xiao; Fuxiang Frank Xia; Jie Fu 001; Ge Zhang 009; Ge Lin; Weiyang Liu (Trans. Mach. Learn. Res., 2025)

FeaMix: Feature Mix With Memory Batch Based on Self-Consistency Learning for Code Generation and Code Translation. - Shuai Zhao 007; Jie Tian 004; Jie Fu 001; Jie Chen 021; Jinming Wen (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Learning from Failures in Multi-Attempt Reinforcement Learning. - Stephen Chung; Wenyu Du; Jie Fu 001 (CoRR, 2025)

Thinker: Learning to Think Fast and Slow. - Stephen Chung; Wenyu Du; Jie Fu 001 (CoRR, 2025)

OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning. - Zhiwei Nie; Hongyu Zhang 002; Hao Jiang; Yutian Liu 004; Xiansong Huang; Fan Xu; Jie Fu 001; Zhixiang Ren; Yonghong Tian 001; Wen-Bin Zhang; Jie Chen 001 (CoRR, 2025)

Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. - Chuanhao Yan; Fengdi Che; Xuhan Huang; Xu Xu; Xin Li; Yizhi Li; Xingwei Qu; Jingzhe Shi; Zhuangzhuang He; Chenghua Lin; Yaodong Yang 001; Binhang Yuan; et al. (CoRR, 2025)

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook. - Jiankai Sun; Chuanyang Zheng; Enze Xie; Zhengying Liu; Ruihang Chu; Jianing Qiu; Jiaqi Xu; Mingyu Ding; Hongyang Li 001; Mengzhe Geng; Yue Wu 012; Wenhai Wang; et al. (ACM Comput. Surv., 2025)