Wenhu Chen

According to our database, Wenhu Chen authored at least 93 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang

CoRR, 2024

AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks.

Max Ku, Cong Wei, Weiming Ren, Harry Yang, Wenhu Chen

CoRR, 2024

Reward Guided Latent Consistency Distillation.

Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang

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, Stephen W. Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Ge Zhang

CoRR, 2024

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

CoRR, 2024

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, 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 B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo

CoRR, 2024

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

CoRR, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu

CoRR, 2024

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.

Weiming Ren, Harry Yang, Ge Zhang, Cong Wei, Xinrun Du, Stephen Huang, Wenhu Chen

CoRR, 2024

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction.

Yonggang Jin, Ge Zhang, Hao Zhao, Tianyu Zheng, Jiawei Guo, Liuyu Xiang, Shawn Yue, Stephen W. Huang, Wenhu Chen, Zhaofeng He, Jie Fu

CoRR, 2024

Understanding the 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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 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, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 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

CoRR, 2024

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models.

Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.

Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen

CoRR, 2023

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers.

Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen

CoRR, 2023

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

CoRR, 2023

Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei

CoRR, 2023

ImagenHub: Standardizing the evaluation of conditional image generation models.

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen

CoRR, 2023

TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks.

Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, 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, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

CoRR, 2023

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

CoRR, 2023

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

CoRR, 2023

Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering.

Yubo Wang, Xueguang Ma, Wenhu Chen

CoRR, 2023

DreamEdit: Subject-driven Image Editing.

Tianle Li, Max Ku, Cong Wei, Wenhu Chen

CoRR, 2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing.

Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su

CoRR, 2023

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 B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu

CoRR, 2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.

Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang

CoRR, 2023

EDIS: Entity-Driven Image Search over Multimodal Web Content.

Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang

CoRR, 2023

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

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing.

Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger B. Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT.

Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger B. Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, Yike Guo

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Attacking Open-domain Question Answering by Injecting Misinformation.

Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EDIS: Entity-Driven Image Search over Multimodal Web Content.

Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Large Language Models are few(1)-shot Table Reasoners.

Wenhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Few-shot In-context Learning on Knowledge Base Question Answering.

Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen

CoRR, 2022

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

CoRR, 2022

Controllable Dialogue Simulation with In-context Learning.

Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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 the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data.

Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Accessing Diverse Web Knowledge with Natural Language Interface.

Wenhu Chen

PhD thesis, 2021

ContraQA: Question Answering under Contradicting Contexts.

Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang

CoRR, 2021

Meta Module Network for Compositional Visual Reasoning.

Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks.

Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Explanation of Dialogue Response Generation.

Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Dataset for Answering Time-Sensitive Questions.

Wenhu Chen, Xinyi Wang, William Yang Wang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Multi-hop Question Answering by Question Generation.

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Open Question Answering over Tables and Text.

Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen

Proceedings of the 9th International Conference on Learning Representations, 2021

Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding.

Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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 the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Zero-shot Fact Verification by Claim Generation.

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN.

Yilin Shen, Wenhu Chen, Hongxia Jin

CoRR, 2020

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

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation.

Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms.

Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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 the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot NLG with Pre-Trained Language Model.

Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Logical Natural Language Generation from Open-Domain Tables.

Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs.

Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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 the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Mining Algorithm Roadmap in Scientific Publications.

Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance.

Yilin Shen, Wenhu Chen, Hongxia Jin

Proceedings of the Interspeech 2019, 2019

Global Textual Relation Embedding for Relational Understanding.

Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.

Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.

Wenhu Chen, Yilin Shen, Xin Wang, William Yang Wang

CoRR, 2018

Approximate Distribution Matching for Sequence-to-Sequence Learning.

Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou

CoRR, 2018

Variational Knowledge Graph Reasoning.

Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generative Bridging Network for Neural Sequence Prediction.

Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.

Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Video Captioning via Hierarchical Reinforcement Learning.

Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Triangular Architecture for Rare Language Translation.

Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling.

Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Neural Sequence Prediction by Coaching.

Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou

CoRR, 2017

2016

Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning.

Wenhu Chen, Aurélien Lucchi, Thomas Hofmann

CoRR, 2016

Guided Alignment Training for Topic-Aware Neural Machine Translation.

Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter

Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016

2013

Facial Emotion Recognition Using PHOG and a Hierarchical Expression Model.

Zhao Zhong, Gang Shen, Wenhu Chen

Proceedings of the 2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013