Wenhu Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
80
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
80 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding. | Songcheng Cai, Zhiheng Lyu, Yuansheng Ni, Xiangchao Chen, Baichuan Zhou, Shenzhe Zhu, Yi Lu, Haozhe Wang, Chi Ruan, Benjamin Schneider, Weixu Zhang, Xiang Li, Andy Zheng, Yuyu Zhang, Ping Nie, Wenhu Chen |
| 2026 | ACL | BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents. | Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Sahel Sharifymoghaddam, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Hosna Oyarhoseini, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin |
| 2025 | ACL | TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation. | Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang |
| 2025 | ACL | 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 |
| 2025 | ACL | TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding. | Max Ku, Cheuk Hei Chong, Jonathan Leung, Krish Shah, Alvin Yu, Wenhu Chen |
| 2025 | ACL | VISA: Retrieval Augmented Generation with Visual Source Attribution. | Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin |
| 2025 | ACL | MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. | Xiang Yue, Tianyu Zheng, Yuansheng Ni, Yubo Wang, Kai Zhang, Shengbang Tong, Yuxuan Sun, Botao Yu, Ge Zhang, Huan Sun, Yu Su, Wenhu Chen, Graham Neubig |
| 2025 | ACL | ACECODER: Acing Coder RL via Automated Test-Case Synthesis. | Huaye Zeng, Dongfu Jiang, Haozhe Wang, Ping Nie, Xiaotong Chen, Wenhu Chen |
| 2025 | CVPR | VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation. | Weiming Ren, Huan Yang, Jie Min, Cong Wei, Wenhu Chen |
| 2025 | EMNLP | VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search. | Yiming Jia, Jiachen Li, Xiang Yue, Bo Li, Ping Nie, Kai Zou, Wenhu Chen |
| 2025 | EMNLP | VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation. | Yuansheng Ni, Ping Nie, Kai Zou, Xiang Yue, Wenhu Chen |
| 2025 | EMNLP | Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem. | Yubo Wang, Ping Nie, Kai Zou, Lijun Wu, Wenhu Chen |
| 2025 | ICCV | VAMBA: Understanding Hour-Long Videos with Hybrid Mamba-Transformers. | Weiming Ren, Wentao Ma, Huan Yang, Cong Wei, Ge Zhang, Wenhu Chen |
| 2025 | ICLR | MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks. | Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen |
| 2025 | ICLR | VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. | Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen |
| 2025 | ICLR | T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design. | Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang |
| 2025 | ICLR | Harnessing Webpage UIs for Text-Rich Visual Understanding. | Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue |
| 2025 | ICLR | OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision. | Cong Wei, Zheyang Xiong, Weiming Ren, Xeron Du, Ge Zhang, Wenhu Chen |
| 2025 | NAACL | UniRAG: Universal Retrieval Augmentation for Large Vision Language Models. | Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen, Jimmy Lin |
| 2024 | ACL | Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. | Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ACL | VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. | Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen |
| 2024 | ACL | E2-LLM: Efficient and Extreme Length Extension of Large Language Models. | Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng |
| 2024 | ACL | SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. | Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin |
| 2024 | ACL | ChatMusician: Understanding and Generating Music Intrinsically with LLM. | Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo |
| 2024 | ACL | OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. | Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue |
| 2024 | CVPR | 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 |
| 2024 | CVPR | MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. | Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen |
| 2024 | ECCV | UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. | Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen |
| 2024 | EMNLP | VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. | Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen |
| 2024 | EMNLP | Unifying Multimodal Retrieval via Document Screenshot Embedding. | Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin |
| 2024 | EMNLP | Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. | Yubo Wang, Xueguang Ma, Wenhu Chen |
| 2024 | ICLR | ImagenHub: Standardizing the evaluation of conditional image generation models. | Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen |
| 2024 | ICLR | MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. | Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu |
| 2024 | ICLR | Kosmos-G: Generating Images in Context with Multimodal Large Language Models. | Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei |
| 2024 | ICLR | MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. | Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen |
| 2024 | ICML | Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. | Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ICML | MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. | Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang |
| 2024 | NAACL | 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, Wenhu Chen, Wenhao Huang, Emmanouil Benetos |
| 2024 | WACV | Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. | Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen |
| 2023 | AAAI | 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 |
| 2023 | ACL | DePlot: One-shot visual language reasoning by plot-to-table translation. | Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun |
| 2023 | ACL | Few-shot In-context Learning on Knowledge Base Question Answering. | Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen |
| 2023 | EACL | Large Language Models are few(1)-shot Table Reasoners. | Wenhu Chen |
| 2023 | EACL | 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 |
| 2023 | EMNLP | TheoremQA: A Theorem-driven Question Answering Dataset. | Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia |
| 2023 | EMNLP | EDIS: Entity-Driven Image Search over Multimodal Web Content. | Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang |
| 2023 | EMNLP | On the Risk of Misinformation Pollution with Large Language Models. | Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang |
| 2023 | ICLR | Re-Imagen: Retrieval-Augmented Text-to-Image Generator. | Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen |
| 2023 | IJCNLP | Attacking Open-domain Question Answering by Injecting Misinformation. | Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang |
| 2023 | SIGIR | Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. | Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta |
| 2022 | ACL | HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. | Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang |
| 2022 | EMNLP | MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. | Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen |
| 2022 | EMNLP | Controllable Dialogue Simulation with In-context Learning. | Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan |
| 2021 | ACL | A Systematic Investigation of KB-Text Embedding Alignment at Scale. | Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su |
| 2021 | ACL | Zero-shot Fact Verification by Claim Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | EMNLP | FinQA: A Dataset of Numerical Reasoning over Financial Data. | Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao 'Kenneth' Huang, Bryan R. Routledge, William Yang Wang |
| 2021 | EMNLP | Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. | Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan |
| 2021 | ICLR | Open Question Answering over Tables and Text. | Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen |
| 2021 | NAACL | Unsupervised Multi-hop Question Answering by Question Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | WACV | Meta Module Network for Compositional Visual Reasoning. | Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu |
| 2020 | AAAI | Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. | Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang |
| 2020 | ACL | Logical Natural Language Generation from Open-Domain Tables. | Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang |
| 2020 | ACL | Few-Shot NLG with Pre-Trained Language Model. | Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang |
| 2020 | CVPR | Violin: A Large-Scale Dataset for Video-and-Language Inference. | Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu |
| 2020 | EMNLP | Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. | Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang |
| 2020 | EMNLP | KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. | Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang |
| 2020 | EMNLP | HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. | Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang |
| 2020 | ICLR | TabFact: A Large-scale Dataset for Table-based Fact Verification. | Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang |
| 2019 | ACL | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
| 2019 | ACL | Global Textual Relation Embedding for Relational Understanding. | Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su |
| 2019 | Interspeech | Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. | Yilin Shen, Wenhu Chen, Hongxia Jin |
| 2019 | KDD | Mining Algorithm Roadmap in Scientific Publications. | Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan |
| 2019 | NAACL | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang |
| 2018 | ACL | No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. | Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang |
| 2018 | ACL | Triangular Architecture for Rare Language Translation. | Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma |
| 2018 | CVPR | Video Captioning via Hierarchical Reinforcement Learning. | Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang |
| 2018 | EMNLP | XL-NBT: A Cross-lingual Neural Belief Tracking Framework. | Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang |
| 2018 | NAACL | Generative Bridging Network for Neural Sequence Prediction. | Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou |
| 2018 | NAACL | Variational Knowledge Graph Reasoning. | Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang |
| 2016 | AMTA | Guided Alignment Training for Topic-Aware Neural Machine Translation. | Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter |