Facial Emotion Recognition Using PHOG and a Hierarchical Expression Model. - Zhao Zhong; Gang Shen; Wenhu Chen (INCoS, 2013)

Guided Alignment Training for Topic-Aware Neural Machine Translation. - Wenhu Chen; Evgeny Matusov; Shahram Khadivi; Jan-Thorsten Peter (AMTA (1), 2016)

Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning. - Wenhu Chen; Aurélien Lucchi; Thomas Hofmann 001 (CoRR, 2016)

Neural Sequence Prediction by Coaching. - Wenhu Chen; Guanlin Li; Shujie Liu 001; Zhirui Zhang; Mu Li 001; Ming Zhou 001 (CoRR, 2017)

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. - Xin Wang 061; Wenhu Chen; Yuan-Fang Wang; William Yang Wang (ACL (1), 2018)

Triangular Architecture for Rare Language Translation. - Shuo Ren; Wenhu Chen; Shujie Liu 001; Mu Li 001; Ming Zhou 001; Shuai Ma 001 (ACL (1), 2018)

Video Captioning via Hierarchical Reinforcement Learning. - Xin Wang 061; Wenhu Chen; Jiawei Wu 003; Yuan-Fang Wang; William Yang Wang (CVPR, 2018)

XL-NBT: A Cross-lingual Neural Belief Tracking Framework. - Wenhu Chen; Jianshu Chen; Yu Su 001; Xin Wang 061; Dong Yu 001; Xifeng Yan; William Yang Wang (EMNLP, 2018)

Generative Bridging Network for Neural Sequence Prediction. - Wenhu Chen; Guanlin Li; Shuo Ren; Shujie Liu 001; Zhirui Zhang; Mu Li 001; Ming Zhou 001 (NAACL-HLT, 2018)

Variational Knowledge Graph Reasoning. - Wenhu Chen; Wenhan Xiong; Xifeng Yan; William Yang Wang (NAACL-HLT, 2018)

Approximate Distribution Matching for Sequence-to-Sequence Learning. - Wenhu Chen; Guanlin Li; Shujie Liu 001; Zhirui Zhang; Mu Li 001; Ming Zhou 001 (CoRR, 2018)

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection. - Wenhu Chen; Yilin Shen; Xin Wang 061; William Yang Wang (CoRR, 2018)

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. - Wenhu Chen; Jianshu Chen; Pengda Qin; Xifeng Yan; William Yang Wang (ACL (1), 2019)

Global Textual Relation Embedding for Relational Understanding. - Zhiyu Chen 002; Hanwen Zha; Honglei Liu 001; Wenhu Chen; Xifeng Yan; Yu Su 001 (ACL (1), 2019)

Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. - Yilin Shen; Wenhu Chen; Hongxia Jin (INTERSPEECH, 2019)

Mining Algorithm Roadmap in Scientific Publications. - Hanwen Zha; Wenhu Chen; Keqian Li; Xifeng Yan (KDD, 2019)

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. - Wenhu Chen; Yu Su 001; Yilin Shen; Zhiyu Chen 002; Xifeng Yan; William Yang Wang (NAACL-HLT (1), 2019)

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. - Shiyang Li; Xiaoyong Jin; Yao Xuan; Xiyou Zhou; Wenhu Chen; Yu-Xiang Wang 003; Xifeng Yan (NeurIPS, 2019)

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. - Pengda Qin; Xin Wang 061; Wenhu Chen; Chunyun Zhang; Weiran Xu; William Yang Wang (AAAI, 2020)

Logical Natural Language Generation from Open-Domain Tables. - Wenhu Chen; Jianshu Chen; Yu Su 001; Zhiyu Chen 002; William Yang Wang (ACL, 2020)

Few-Shot NLG with Pre-Trained Language Model. - Zhiyu Chen 002; Harini Eavani; Wenhu Chen; Yinyin Liu; William Yang Wang (ACL, 2020)

Violin: A Large-Scale Dataset for Video-and-Language Inference. - Jingzhou Liu; Wenhu Chen; Yu Cheng 001; Zhe Gan; Licheng Yu; Yiming Yang; Jingjing Liu 001 (CVPR, 2020)

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. - Zhiyu Chen 002; Wenhu Chen; Hanwen Zha; Xiyou Zhou; Yunkai Zhang 002; Sairam Sundaresan; William Yang Wang (EMNLP (Findings), 2020)

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. - Wenhu Chen; Yu Su 001; Xifeng Yan; William Yang Wang (EMNLP (1), 2020)

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. - Wenhu Chen; Hanwen Zha; Zhiyu Chen 002; Wenhan Xiong; Hong Wang 023; William Yang Wang (EMNLP (Findings), 2020)

TabFact: A Large-scale Dataset for Table-based Fact Verification. - Wenhu Chen; Hongmin Wang; Jianshu Chen; Yunkai Zhang 002; Hong Wang 023; Shiyang Li; Xiyou Zhou; William Yang Wang (ICLR, 2020)

Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. - Yilin Shen; Wenhu Chen; Hongxia Jin (CoRR, 2020)

A Systematic Investigation of KB-Text Embedding Alignment at Scale. - Vardaan Pahuja; Yu Gu 016; Wenhu Chen; Mehdi Bahrami; Lei Liu; Wei-Peng Chen; Yu Su 001 (ACL/IJCNLP (1), 2021)

Zero-shot Fact Verification by Claim Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (ACL/IJCNLP (2), 2021)

FinQA: A Dataset of Numerical Reasoning over Financial Data. - Zhiyu Chen 002; Wenhu Chen; Charese Smiley; Sameena Shah; Iana Borova; Dylan Langdon; Reema Moussa; Matt Beane; Ting-Hao Kenneth Huang; Bryan R. Routledge; William Yang Wang (EMNLP (1), 2021)

Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. - Shiyang Li; Semih Yavuz; Wenhu Chen; Xifeng Yan (EMNLP (Findings), 2021)

Open Question Answering over Tables and Text. - Wenhu Chen; Ming-Wei Chang; Eva Schlinger; William Yang Wang; William W. Cohen (ICLR, 2021)

Unsupervised Multi-hop Question Answering by Question Generation. - Liangming Pan; Wenhu Chen; Wenhan Xiong; Min-Yen Kan; William Yang Wang (NAACL-HLT, 2021)

A Dataset for Answering Time-Sensitive Questions. - Wenhu Chen; Xinyi Wang 003; William Yang Wang (NeurIPS Datasets and Benchmarks, 2021)

Local Explanation of Dialogue Response Generation. - Yi-Lin Tuan; Connor Pryor; Wenhu Chen; Lise Getoor; William Yang Wang (NeurIPS, 2021)

Counterfactual Maximum Likelihood Estimation for Training Deep Networks. - Xinyi Wang 003; Wenhu Chen; Michael Saxon; William Yang Wang (NeurIPS, 2021)

Meta Module Network for Compositional Visual Reasoning. - Wenhu Chen; Zhe Gan; Linjie Li; Yu Cheng 001; William Yang Wang; Jingjing Liu 001 (WACV, 2021)

ContraQA: Question Answering under Contradicting Contexts. - Liangming Pan; Wenhu Chen; Min-Yen Kan; William Yang Wang (CoRR, 2021)

Accessing Diverse Web Knowledge with Natural Language Interface. - Wenhu Chen (2021)

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. - Kai Nakamura; Sharon Levy; Yi-Lin Tuan; Wenhu Chen; William Yang Wang (ACL (Findings), 2022)

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. - Wenhu Chen; Hexiang Hu; Xi Chen 071; Pat Verga; William W. Cohen (EMNLP, 2022)

Controllable Dialogue Simulation with In-context Learning. - Zekun Li 008; Wenhu Chen; Shiyang Li; Hong Wang 023; Jing Qian; Xifeng Yan (EMNLP (Findings), 2022)

Explanations from Large Language Models Make Small Reasoners Better. - Shiyang Li; Jianshu Chen; Yelong Shen; Zhiyu Chen 002; Xinlu Zhang; Zekun Li 008; Hong Wang 023; Jing Qian; Baolin Peng; Yi Mao; Wenhu Chen; Xifeng Yan (CoRR, 2022)

QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - William W. Cohen; Wenhu Chen; Michiel de Jong; Nitish Gupta; Alessandro Presta; Pat Verga; John Wieting (AAAI, 2023)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

Few-shot In-context Learning on Knowledge Base Question Answering. - Tianle Li; Xueguang Ma; Alex Zhuang; Yu Gu 016; Yu Su 001; Wenhu Chen (ACL (1), 2023)

Large Language Models are few(1)-shot Table Reasoners. - Wenhu Chen (EACL (Findings), 2023)

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. - Wenhu Chen; Pat Verga; Michiel de Jong; John Wieting; William W. Cohen (EACL, 2023)

TheoremQA: A Theorem-driven Question Answering Dataset. - Wenhu Chen; Ming Yin; Max Ku; Pan Lu; Yixin Wan; Xueguang Ma; Jianyu Xu; Xinyi Wang 003; Tony Xia (EMNLP, 2023)

EDIS: Entity-Driven Image Search over Multimodal Web Content. - Siqi Liu; Weixi Feng; Tsu-Jui Fu; Wenhu Chen; William Wang 001 (EMNLP, 2023)

On the Risk of Misinformation Pollution with Large Language Models. - Yikang Pan; Liangming Pan; Wenhu Chen; Preslav Nakov; Min-Yen Kan; William Yang Wang (EMNLP (Findings), 2023)

Re-Imagen: Retrieval-Augmented Text-to-Image Generator. - Wenhu Chen; Hexiang Hu; Chitwan Saharia; William W. Cohen (ICLR, 2023)

Attacking Open-domain Question Answering by Injecting Misinformation. - Liangming Pan; Wenhu Chen; Min-Yen Kan; William Yang Wang (IJCNLP (1), 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)

Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Wenhu Chen; Hexiang Hu; Yandong Li; Nataniel Ruiz; Xuhui Jia; Ming-Wei Chang; William W. Cohen (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)

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing. - Kai Zhang 033; Lingbo Mo; Wenhu Chen; Huan Sun 001; Yu Su 001 (NeurIPS, 2023)

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. - Sameena Shah; Xiaodan Zhu 001; Wenhu Chen; Manling Li; Armineh Nourbakhsh; Xiaomo Liu; Zhiqiang Ma; Charese Smiley; Yulong Pei; Akshat Gupta (SIGIR, 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)

EDIS: Entity-Driven Image Search over Multimodal Web Content. - Siqi Liu; Weixi Feng; Wenhu Chen; William Yang Wang (CoRR, 2023)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. - Alfonso Amayuelas; Liangming Pan; Wenhu Chen; William Yang Wang (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)

Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering. - Yubo Wang; Xueguang Ma; Wenhu Chen (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)

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. - Wenhu Chen; Xueguang Ma; Xinyi Wang 003; William W. Cohen (Trans. Mach. Learn. Res., 2023)

DreamEdit: Subject-driven Image Editing. - Tianle Li; Max Ku; Cong Wei 001; Wenhu Chen (Trans. Mach. Learn. Res., 2023)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. - Alfonso Amayuelas; Kyle Wong; Liangming Pan; Wenhu Chen; William Yang Wang (ACL (Findings), 2024)

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. - Max Ku; Dongfu Jiang; Cong Wei 001; Xiang Yue; Wenhu Chen (ACL (1), 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)

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)

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)

Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hexiang Hu; Kelvin C. K. Chan; Yu-Chuan Su; Wenhu Chen; Yandong Li; Kihyuk Sohn; Yang Zhao; Xue Ben; Boqing Gong; William W. Cohen; Ming-Wei Chang; Xuhui Jia (CVPR, 2024)

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. - Xiang Yue; Yuansheng Ni; Tianyu Zheng; Kai Zhang 033; Ruoqi Liu; Ge Zhang 009; Samuel Stevens 001; Dongfu Jiang; Weiming Ren; Yuxuan Sun 002; Cong Wei 001; Botao Yu; et al. (CVPR, 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)

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. - Xuan He; Dongfu Jiang; Ge Zhang 009; Max Ku; Achint Soni; Sherman Siu; Haonan Chen; Abhranil Chandra; Ziyan Jiang; Aaran Arulraj; Kai Wang 068; Quy Duc Do; et al. (EMNLP, 2024)

Unifying Multimodal Retrieval via Document Screenshot Embedding. - Xueguang Ma; Sheng-Chieh Lin; Minghan Li 002; Wenhu Chen; Jimmy Lin (EMNLP, 2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. - Yubo Wang; Xueguang Ma; Wenhu Chen (EMNLP (Findings), 2024)

ImagenHub: Standardizing the evaluation of conditional image generation models. - Max Ku; Tianle Li; Kai Zhang 033; Yujie Lu; Xingyu Fu; Wenwen Zhuang; Wenhu Chen (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)

Kosmos-G: Generating Images in Context with Multimodal Large Language Models. - Xichen Pan; Li Dong 004; Shaohan Huang; Zhiliang Peng; Wenhu Chen; Furu Wei (ICLR, 2024)

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. - Xiang Yue; Xingwei Qu; Ge Zhang 009; Yao Fu; Wenhao Huang 001; Huan Sun 001; Yu Su 001; Wenhu Chen (ICLR, 2024)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. - Xinyi Wang 003; Alfonso Amayuelas; Kexun Zhang; Liangming Pan; Wenhu Chen; William Yang Wang (ICML, 2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. - Kai Zhang 033; Yi Luan; Hexiang Hu; Kenton Lee; Siyuan Qiao; Wenhu Chen; Yu Su 001; Ming-Wei Chang (ICML, 2024)

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response. - Zihao Deng; Yinghao Ma; Yudong Liu; Rongchen Guo; Ge Zhang 009; Wenhu Chen; Wenhao Huang 001; Emmanouil Benetos (NAACL-HLT (Findings), 2024)

GenAI Arena: An Open Evaluation Platform for Generative Models. - Dongfu Jiang; Max Ku; Tianle Li; Yuansheng Ni; Shizhuo Sun; Rongqi Fan; Wenhu Chen (NeurIPS, 2024)

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. - Jiachen Li; Weixi Feng; Tsu-Jui Fu; Xinyi Wang 003; Sugato Basu; Wenhu Chen; William Yang Wang (NeurIPS, 2024)

WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. - Yujie Lu; Dongfu Jiang; Wenhu Chen; William Yang Wang; Yejin Choi 001; Bill Yuchen Lin (NeurIPS, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Yubo Wang; Xueguang Ma; Ge Zhang 009; Yuansheng Ni; Abhranil Chandra; Shiguang Guo; Weiming Ren; Aaran Arulraj; Xuan He; Ziyan Jiang; Tianle Li; Max Ku; et al. (NeurIPS, 2024)

MAmmoTH2: Scaling Instructions from the Web. - Xiang Yue; Tianyu Zheng; Ge Zhang 009; Wenhu Chen (NeurIPS, 2024)

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. - Xichen Pan; Pengda Qin; Yuhong Li; Hui Xue 001; Wenhu Chen (WACV, 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)

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. - Weiming Ren; Harry Yang; Ge Zhang 009; Cong Wei 001; Xinrun Du; Stephen Huang; Wenhu Chen (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)

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)

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)

AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks. - Max Ku; Cong Wei 001; Weiming Ren; Harry Yang; Wenhu Chen (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)

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)

MAmmoTH2: Scaling Instructions from the Web. - Xiang Yue; Tuney Zheng; Ge Zhang 009; Wenhu Chen (CoRR, 2024)

UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models. - Sahel Sharifymoghaddam; Shivani Upadhyay; Wenhu Chen; Jimmy Lin (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. - Weixi Feng; Jiachen Li; Michael Saxon; Tsu-Jui Fu; Wenhu Chen; William Yang Wang (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)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs. - Ziyan Jiang; Xueguang Ma; Wenhu Chen (CoRR, 2024)

LongIns: A Challenging Long-context Instruction-based Exam for LLMs. - Shawn Gavin; Tuney Zheng; Jiaheng Liu; Quehry Que; Noah Wang; Jian Yang; Chenchen Zhang; Wenhao Huang 001; Wenhu Chen; Ge Zhang 009 (CoRR, 2024)

Foundation Models for Music: A Survey. - Yinghao Ma; Anders Øland; Anton Ragni; Bleiz Macsen Del Sette; Charalampos Saitis; Chris Donahue; Chenghua Lin; Christos Plachouras; Emmanouil Benetos; Elio Quinton; Elona Shatri; Fabio Morreale; et al. (CoRR, 2024)

T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design. - Jiachen Li; Qian Long; Jian Zheng; Xiaofeng Gao 002; Robinson Piramuthu; Wenhu Chen; William Yang Wang (CoRR, 2024)

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision. - Cong Wei 001; Zheyang Xiong; Weiming Ren; Xinrun Du; Ge Zhang 009; Wenhu Chen (CoRR, 2024)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. - Jarvis Guo; Tuney Zheng; Yuelin Bai; Bo Li; Yubo Wang; King Zhu; Yizhi Li; Graham Neubig; Wenhu Chen; Xiang Yue (CoRR, 2024)

Mantis: Interleaved Multi-Image Instruction Tuning. - Dongfu Jiang; Xuan He; Huaye Zeng; Cong Wei 001; Max Ku; Qian Liu; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. - Dongfu Jiang; Yishan Li; Ge Zhang 009; Wenhao Huang 001; Bill Yuchen Lin; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks. - Max Ku; Cong Wei 001; Weiming Ren; Huan Yang 005; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

Reward Guided Latent Consistency Distillation. - Jiachen Li; Weixi Feng; Wenhu Chen; William Yang Wang (Trans. Mach. Learn. Res., 2024)

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. - Weiming Ren; Huan Yang 005; Ge Zhang 009; Cong Wei 001; Xinrun Du; Wenhao Huang 001; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation. - Weixi Feng; Jiachen Li; Michael Saxon; Tsu-Jui Fu; Wenhu Chen; William Yang Wang (ACL (Findings), 2025)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. - Jiawei Guo; Tianyu Zheng; Yizhi Li; Yuelin Bai; Bo Li; Yubo Wang; King Zhu; Graham Neubig; Wenhu Chen; Xiang Yue (ACL (1), 2025)

TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding. - Max Ku; Cheuk Hei Chong; Jonathan Leung; Krish Shah; Alvin Yu; Wenhu Chen (ACL (1), 2025)

VISA: Retrieval Augmented Generation with Visual Source Attribution. - Xueguang Ma; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Wenhu Chen; Jimmy Lin (ACL (1), 2025)

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. - Xiang Yue; Tianyu Zheng; Yuansheng Ni; Yubo Wang; Kai Zhang 033; Shengbang Tong; Yuxuan Sun 002; Botao Yu; Ge Zhang 009; Huan Sun 001; Yu Su 001; Wenhu Chen; et al. (ACL (1), 2025)

ACECODER: Acing Coder RL via Automated Test-Case Synthesis. - Huaye Zeng; Dongfu Jiang; Haozhe Wang 002; Ping Nie; Xiaotong Chen; Wenhu Chen (ACL (1), 2025)

VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation. - Weiming Ren; Huan Yang 005; Jie Min; Cong Wei 001; Wenhu Chen (CVPR, 2025)

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks. - Jiacheng Chen; Tianhao Liang; Sherman Siu; Zhengqing Wang; Kai Wang 068; Yubo Wang; Yuansheng Ni; Ziyan Jiang; Wang Zhu 001; Bohan Lyu 001; Dongfu Jiang; Xuan He; et al. (ICLR, 2025)

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. - Ziyan Jiang; Rui Meng; Xinyi Yang; Semih Yavuz; Yingbo Zhou; Wenhu Chen (ICLR, 2025)

T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design. - Jiachen Li; Qian Long; Jian Zheng; Xiaofeng Gao 002; Robinson Piramuthu; Wenhu Chen; William Yang Wang (ICLR, 2025)

Harnessing Webpage UIs for Text-Rich Visual Understanding. - Junpeng Liu 001; Tianyue Ou; Yifan Song 002; Yuxiao Qu; Wai Lam; Chenyan Xiong; Wenhu Chen; Graham Neubig; Xiang Yue (ICLR, 2025)

OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision. - Cong Wei 001; Zheyang Xiong; Weiming Ren; Xeron Du; Ge Zhang 009; Wenhu Chen (ICLR, 2025)

UniRAG: Universal Retrieval Augmentation for Large Vision Language Models. - Sahel Sharifymoghaddam; Shivani Upadhyay; Wenhu Chen; Jimmy Lin (NAACL (Findings), 2025)

Long-context LLMs Struggle with Long In-context Learning. - Tianle Li; Ge Zhang 009; Quy Duc Do; Xiang Yue; Wenhu Chen (Trans. Mach. Learn. Res., 2025)

ABC: Achieving Better Control of Visual Embeddings using VLLMs. - Benjamin Schneider; Florian Kerschbaum; Wenhu Chen (Trans. Mach. Learn. Res., 2025)

Aligning Instruction Tuning with Pre-training. - Yiming Liang; Tianyu Zheng; Xinrun Du; Ge Zhang 009; Jiaheng Liu; Xingwei Qu; Wenqiang Zu; Xingrun Xing; Chujie Zheng; Lei Ma 008; Wenhu Chen; Guoyin Wang; et al. (CoRR, 2025)

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate. - Yubo Wang; Xiang Yue; Wenhu Chen (CoRR, 2025)

PixelWorld: Towards Perceiving Everything as Pixels. - Zhiheng Lyu; Xueguang Ma; Wenhu Chen (CoRR, 2025)

TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding. - Max Ku; Thomas Chong; Jonathan Leung; Krish Shah; Alvin Yu; Wenhu Chen (CoRR, 2025)

ABC: Achieving Better Control of Multimodal Embeddings using VLMs. - Benjamin Schneider; Florian Kerschbaum; Wenhu Chen (CoRR, 2025)

YuE: Scaling Open Foundation Models for Long-Form Music Generation. - Ruibin Yuan; Hanfeng Lin; Shuyue Guo; Ge Zhang 009; Jiahao Pan; Yongyi Zang; Haohe Liu; Yiming Liang; Wenye Ma; Xingjian Du; Xinrun Du; Zhen Ye; et al. (CoRR, 2025)

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search. - Yiming Jia; Jiachen Li; Xiang Yue; Bo Li; Ping Nie; Kai Zou; Wenhu Chen (CoRR, 2025)

Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers. - Weiming Ren; Wentao Ma; Huan Yang 005; Cong Wei 001; Ge Zhang 009; Wenhu Chen (CoRR, 2025)

MoCha: Towards Movie-Grade Talking Character Synthesis. - Cong Wei 001; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; et al. (CoRR, 2025)

Towards Trustworthy GUI Agents: A Survey. - Yucheng Shi; Wenhao Yu 002; Wenlin Yao; Wenhu Chen; Ninghao Liu (CoRR, 2025)

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. - Yubo Wang; Xueguang Ma; Ping Nie; Huaye Zeng; Zhiheng Lyu; Yuxuan Zhang; Benjamin Schneider; Yi Lu; Xiang Yue; Wenhu Chen (CoRR, 2025)

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning. - Haozhe Wang 002; Chao Qu; Zuming Huang; Wei Chu; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining. - Raghuveer Thirukovalluru; Rui Meng; Ye Liu; Karthikeyan K; Mingyi Su; Ping Nie; Semih Yavuz; Yingbo Zhou; Wenhu Chen; Bhuwan Dhingra (CoRR, 2025)

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation. - Wentao Ma; Weiming Ren; Yiming Jia; Zhuofeng Li; Ping Nie; Ge Zhang 009; Wenhu Chen (CoRR, 2025)

General-Reasoner: Advancing LLM Reasoning Across All Domains. - Xueguang Ma; Qian Liu; Dongfu Jiang; Ge Zhang 009; Zejun Ma; Wenhu Chen (CoRR, 2025)

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? - Hui Shen; Taiqiang Wu; Qi Han; Yunta Hsieh; Jizhou Wang; Yuyue Zhang; Yuxin Cheng; Zijian Hao; Yuansheng Ni; Xin Wang; Zhongwei Wan; Kai Zhang 033; et al. (CoRR, 2025)

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning. - Alex Su; Haozhe Wang 002; Weiming Ren; Fangzhen Lin; Wenhu Chen (CoRR, 2025)

QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design. - Benjamin Schneider; Dongfu Jiang; Chao Du; Tianyu Pang; Wenhu Chen (CoRR, 2025)

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs. - Jialin Yang; Dongfu Jiang; Lipeng He; Sherman Siu; Yuxuan Zhang; Disen Liao; Zhuofeng Li; Huaye Zeng; Yiming Jia; Haozhe Wang 002; Benjamin Schneider; Chi Ruan; et al. (CoRR, 2025)

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem. - Yubo Wang; Ping Nie; Kai Zou; Lijun Wu; Wenhu Chen (CoRR, 2025)

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation. - Yuansheng Ni; Ping Nie; Kai Zou; Xiang Yue; Wenhu Chen (CoRR, 2025)

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing. - Max Ku; Sun Sun; Hongyu Guo; Wenhu Chen (CoRR, 2025)

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. - Rui Meng; Ziyan Jiang; Ye Liu 006; Mingyi Su; Xinyi Yang 002; Yuepeng Fu; Can Qin; Zeyuan Chen 001; Ran Xu 001; Caiming Xiong; Yingbo Zhou; Wenhu Chen; et al. (CoRR, 2025)

NeuralOS: Towards Simulating Operating Systems via Neural Generative Models. - Luke Rivard; Sun Sun; Hongyu Guo; Wenhu Chen; Yuntian Deng (CoRR, 2025)

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. - Zijian Chen; Xueguang Ma; Shengyao Zhuang; Ping Nie; Kai Zou; Andrew Liu; Joshua Green; Kshama Patel; Ruoxi Meng; Mingyi Su; Sahel Sharifymoghaddam; Yanxi Li; et al. (CoRR, 2025)