Preprints

  1. 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, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang
    Manuscript [pdf][Huggingface]
  2. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
    Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang
    Manuscript [pdf][Huggingface]
  3. 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, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu
    Manuscript [pdf][Website]
  4. Long-context LLMs Struggle with Long In-context Learning
    Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen
    Manuscript [pdf][Github]
  5. 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, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang
    Manuscript [pdf]
  6. 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, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang
    Manuscript [pdf]
  7. Reward Guided Latent Consistency Distillation
    Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang
    Manuscript [pdf]
  8. 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
    Manuscript [pdf][Website]
  9. AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks
    Max Ku, Cong Wei, Weiming Ren, Huan Yang, Wenhu Chen
    Manuscript [pdf][Website]
  10. StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
    Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen
    Manuscript [pdf][Website]
  11. ChatMusician: Fostering Intrinsic Musical Abilities Into LLM
    Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger Dannenberg, Wei Xue, Shiyin Kang, Yike Guo
    Manuscript [pdf][Website]
  12. 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
    Manuscript [pdf][Website]
  13. Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
    Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, Wenhu Chen, William Yang Wang
    Manuscript [pdf]
  14. ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
    Weiming Ren, Harry Yang, Ge Zhang, Cong Wei, Xinrun Du, Stephen Huang, Wenhu Chen
    Manuscript [pdf][website]
  15. 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
    Manuscript [pdf][website]
  16. CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
    Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu
    Manuscript [pdf][website]
  17. 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, Wenhu Chen, Jie Fu, Ge Zhang
    Manuscript [pdf][website]
  18. E^2-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
    Manuscript [pdf]
  19. VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
    Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen
    Manuscript [pdf][website]
  20. UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
    Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen
    Manuscript [pdf][website]
  21. TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks
    Dongfu Jiang*, Yishan Li*, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
    Manuscript [pdf][website]
  22. Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
    Yubo Wang, Xueguang Ma, Wenhu Chen
    Manuscript [pdf]

Publications

    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, Wenhu Chen, Wenhao Huang, Emmanouil Benetos
    Findings of NAACL 2024, Mexico City, Mexico [pdf][code]
  • 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 Cohen, Ming-Wei Chang, Xuhui Jia
    Proceedings of CVPR 2024, Seattle, US [pdf][website]
    Oral (90/11,532 selected)
  • MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
    Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, 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
    Proceedings of CVPR 2024, Seattle, US [pdf][website]
    Oral (90/11,532 selected)
  • Kosmos-G: Generating Images in Context with Multimodal Large Language Models
    Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
    Proceedings of ICLR 2024, Vienna, Austria [pdf][website]
  • ImagenHub: Standardizing the evaluation of conditional image generation models
    Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
    Proceedings of ICLR 2024, Vienna, Austria [pdf][website]
  • MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
    Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu
    Proceedings of ICLR 2024, Vienna, Austria [pdf][code and data]
  • 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*
    Proceedings of ICLR 2024, Vienna, Austria [pdf][website]
    Spotlight (366/7304 selected)
  • Explanations from Large Language Models Make Small Reasoners Better
    Shiyang Li, Jianshu Chen, yelong shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan
    SAI-AAAI Workshop 2024, Vancouver, Canada [pdf]
  • Interactive Natural Language Processing
    Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu
    Springer Nature 2024 [pdf]
  • Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
    Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
    Proceedings of WACV 2024, Hawaii, USA [pdf][code]
    Oral (53/2042 selected)

    • 2023

  • DreamEdit: Subject-driven Image Editing
    Tianle Li, Max Ku, Cong Wei, Wenhu Chen
    TMLR 2023 [pdf][website]
  • Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
    Wenhu Chen*, Xueguang Ma*, Xinyi Wang, William W. Cohen
    TMLR 2023 [pdf][code]
  • On the Risk of Misinformation Pollution with Large Language Models
    Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
    Findings of EMNLP 2023, Singapore [pdf]
  • EDIS: Entity-Driven Image Search over Multimodal Web Content
    Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang
    Proceedings of EMNLP 2023, Singapore [pdf][code and data]
  • TheoremQA: A Theorem-driven Question Answering dataset
    Wenhu Chen, Ming Yin, Max Ku, Elaine Wan, Xueguang Ma, Jianyu Xu, Tony Xia, Xinyi Wang, Pan Lu
    Proceedings of EMNLP 2023, Singapore [pdf][code and data]
  • 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
    Proceedings of NeurIPS 2023, New Orleans, USA [pdf][website]
  • MARBLE: Music Audio Representation Benchmark for Universal Evaluation
    Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu
    Proceedings of NeurIPS 2023, New Orleans, USA [pdf][benchmark]
  • MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
    Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su
    Proceedings of NeurIPS 2023, New Orleans, USA [pdf][website]
  • Attacking Open-domain Question Answering by Injecting Misinformation
    Liangming Pan, Wenhu Chen, Min-Yen Kan and William Yang Wang
    Proceedings of IJCNLP-AACL 2023, Bali, Indonesia [pdf]
    Area Chair Award in Question Answering Track
  • LyricWhiz: Robust Multilingual Lyrics Transcription by Whispering to ChatGPT
    Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, Yike Guo
    Proceedings of ISMIR 2023, Milan, Italy [pdf]
  • 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
    Findings of ACL 2023, Toronto, Canada [pdf] [demo]
  • Few-shot In-context Learning on Knowledge Base Question Answering
    Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su and Wenhu Chen
    Proceedings of ACL 2023, Toronto, Canada [pdf][code]
  • Large Language Models are few(1)-shot Table Reasoners
    Wenhu Chen
    Findings of EACL 2023, Dubrovnik, Croatia [pdf][code]
  • 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
    Proceedings of EACL 2023, Dubrovnik, Croatia [pdf]
  • Re-Imagen: Retrieval-Augmented Text-to-Image Generator
    Wenhu Chen,Hexiang Hu, Chitwan Saharia, William W. Cohen
    Proceedings of ICLR 2023, Kigali, Rwanda [pdf]

    • 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 (All Equal Contribution)
    Proceedings of AAAI 2023, Senior Member Track [pdf]
  • MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
    Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
    Proceedings of EMNLP 2022, Abu Dhabi [pdf]
  • Controllable Dialogue Simulation with In-context Learning
    Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian and Xifeng Yan
    Findings of EMNLP 2022, Abu Dhabi [pdf]
  • HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
    Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang
    Findings of ACL 2022, Virtual [pdf][code]

    • 2021

  • A Dataset for Answering Time-Sensitive Questions
    Wenhu Chen, Xinyi Wang, William Yang Wang
    Proceedings of NeurIPS 2021, Virtual [pdf][code]
  • Local Explanation of Dialogue Response Generation
    Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
    Proceedings of NeurIPS 2021, Virtual [pdf][code]
  • Counterfactual Maximum Likelihood Estimation for Training Deep Networks
    Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
    Proceedings of NeurIPS 2021, Virtual [pdf][code]
  • 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 Huang, Bryan R. Routledge, William Yang Wang
    Proceedings of EMNLP 2021, Virtual [pdf][code]
  • Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
    Shiyang Li, Semih Yavuz, Wenhu Chen and Xifeng Yan
    Findings of EMNLP 2021, Virtual [pdf]
  • Zero-shot Fact Verification by Claim Generation
    Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Wang
    Proceedings of ACL 2021, Virtual [pdf][code]
  • A Systematic Investigation of KB-Text Embedding Alignment at Scale
    Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen and Yu Su
    Proceedings of ACL 2021, Virtual [pdf][code]
  • Unsupervised Multi-hop Question Answering by Question Generation
    Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Wang
    Proceedings of NAACL 2021, Mexico City, Mexico [pdf][code]
  • Open Question Answering over Tables and Text
    Wenhu Chen, Ming-wei Chang, Eva Schlinger, William Wang, William Cohen
    Proceedings of ICLR 2021, Virtual [pdf][data and code] [codalab][slides][talk-slides]
  • Meta Module Network for Compositional Visual Reasoning
    Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu
    Proceedings of WACV 2021, Hawaii, USA [pdf][code]
    Best Student Paper Honorable Mention

    • 2020

  • KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
    Wenhu Chen, Yu Su, Xifeng Yan, William Wang
    Proceedings of EMNLP 2020, Punta Cana, Dominican [pdf][data and code][slides]
  • HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
    Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang
    Findings of EMNLP 2020 [pdf][data and code][codalab][website]
  • Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
    Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Wang
    Findings of EMNLP 2020 [pdf][data and code]
  • Logical Natural Language Generation from Open-Domain Tables
    Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Wang
    Proceedings of ACL 2020, Seattle, USA [pdf][data and code][codalab][slides]
  • Few-shot NLG with Pre-trained Language Model
    Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Wang
    Proceedings of ACL 2020, Seattle, USA [pdf][data and code]
  • VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
    Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
    Proceedings of CVPR 2020, Seattle, USA [pdf][data and code]
  • TabFact: A Large-scale Dataset for Table-based Fact Verification
    Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Wang
    Proceedings of ICLR 2020, Addis Ababa, Ethiopia [pdf][website][data and code][codalab][slides]
  • Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
    Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Wang
    Proceedings of AAAI 2020, New York, US (Oral) [pdf][blog][code]

    • 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, Xifeng Yan
    Proceedings of NeurIPS 2019, Vancouver, Canada [pdf]
  • Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance
    Yilin Shen, Wenhu Chen, Hongxia Jin
    Proceedings of INTERSPEECH 2019, Graz, Austria (Oral) [pdf]
  • Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
    Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Wang
    Proceedings of ACL 2019, Florence, Italy [pdf][code]
  • Global Textual Relation Embedding for Relational Understanding
    Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su
    Proceedings of ACL 2019, Florence, Italy [pdf][code]
  • Mining Algorithm Roadmap in Scientific Publications
    Hanwen Zha, Wenhu Chen, Keqian Li and Xifeng Yan
    Proceedings of KDD 2019, Alaska, USA (Oral) [pdf][blog][video][code]
  • How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection
    Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan and William Wang
    Proceedings of NAACL 2019, Minneapolis, USA (Oral) [pdf][code][slides]

    • Before 2019

  • XL-NBT: A cross-lingual Neural Belief Tracking Framework
    Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Wang.
    Proceedings of EMNLP 2018, Brussels, Belgium [pdf][code][blog]
  • Triangular Architecture for Rare Language Translation
    Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou and Shuai Ma.
    Proceedings of ACL 2018, Melbourne, Australia (Oral) [pdf][slides][blog]
  • No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
    Wenhu Chen*, Xin Wang*, Yuan-Fang Wang and William Wang (*Equal)
    Proceedings of ACL 2018, Melbourne, Australia (Oral) [pdf][code][blog][slides]
  • Variational Knowledge Graph Reasoning
    Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Wang.
    Proceedings of NAACL 2018, New Orleans, CA (Oral) [pdf][slides][data][blog][video]
  • Generative Bridging Network in Neural Sequence Prediction
    Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou.
    Proceedings of NAACL 2018, New Orleans, CA [pdf][poster]
  • Video Captioning via Hierarchical Reinforcement Learning
    Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-fang Wang, William Wang.
    Proceedings of CVPR 2018, Salt Lake City, UTAH [pdf][blog]
  • Guided alignment training for topic-aware neural machine translation
    Wenhu Chen, Evgeny Matusov, Shahram Khadivi, JT Peter.
    Proceedings of AMTA 2016, Austin, TX (Oral) [pdf][openNMT]

Thesis

  • Accessing Diverse Web Knowledge with Natural Language Interface
    Wenhu Chen
    PhD dissertation at University of California, Santa Barbara [pdf]