Wenhu Chen

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 166

Top Venues

Publications

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
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. CoRR (2024)
Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen
MANTIS: Interleaved Multi-Image Instruction Tuning. CoRR (2024)
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
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. ACL (Findings) (2024)
Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. CoRR (2024)
Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. CoRR (2024)
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. WACV (2024)
Yonggang Jin, Ge Zhang, Hao Zhao, Tianyu Zheng, Jiawei Guo, Liuyu Xiang, Shawn Yue, Stephen W. Huang, Wenhu Chen, Zhaofeng He, Jie Fu
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction. CoRR (2024)
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
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR (2024)
Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen
MAmmoTH2: Scaling Instructions from the Web. CoRR (2024)
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
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR (2024)
Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang
Reward Guided Latent Consistency Distillation. CoRR (2024)
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. ACL (1) (2024)
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
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR (2024)
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
ChatMusician: Understanding and Generating Music Intrinsically with LLM. ACL (Findings) (2024)
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
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR (2024)
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen
Long-context LLMs Struggle with Long In-context Learning. CoRR (2024)
Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen, Jimmy Lin
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models. CoRR (2024)
Max Ku, Cong Wei, Weiming Ren, Harry Yang, Wenhu Chen
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks. CoRR (2024)
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
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR (2024)
Junjie Wang, Yin Zhang, Yatai Ji, Yuxiang Zhang, Chunyang Jiang, Yubo Wang, Kang Zhu, Zekun Wang, Tiezhen Wang, Wenhao Huang, Jie Fu, Bei Chen, Qunshu Lin, Minghao Liu, Ge Zhang, Wenhu Chen
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents. CoRR (2024)
Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
Kosmos-G: Generating Images in Context with Multimodal Large Language Models. ICLR (2024)
Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen
GenAI Arena: An Open Evaluation Platform for Generative Models. CoRR (2024)
Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin
Unifying Multimodal Retrieval via Document Screenshot Embedding. CoRR (2024)
Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR (2024)
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
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. CoRR (2024)
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
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR (2024)
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
ChatMusician: Understanding and Generating Music Intrinsically with LLM. CoRR (2024)
Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. CoRR (2024)
Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR (2024)
Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. ACL (Findings) (2024)
Shawn Gavin, Tuney Zheng, Jiaheng Liu, Quehry Que, Noah Wang, Jian Yang, Chenchen Zhang, Wenhao Huang, Wenhu Chen, Ge Zhang
LongIns: A Challenging Long-context Instruction-based Exam for LLMs. CoRR (2024)
Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
ImagenHub: Standardizing the evaluation of conditional image generation models. ICLR (2024)
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, Yuchen Lin, Wenhu Chen
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. CoRR (2024)
Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. Trans. Mach. Learn. Res. 2024 (2024)
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. ACL (Findings) (2024)
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
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. CoRR (2024)
Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. CoRR (2024)
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR (2024)
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
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. ICLR (2024)
Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. CoRR (2024)
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. CoRR (2024)
Weiming Ren, Harry Yang, Ge Zhang, Cong Wei, Xinrun Du, Stephen Huang, Wenhu Chen
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. CoRR (2024)
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. ICLR (2024)
Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. CoRR (2024)
Ziyan Jiang, Xueguang Ma, Wenhu Chen
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs. CoRR (2024)
Weiming Ren, Huan Yang, Ge Zhang, Cong Wei, Xinrun Du, Wenhao Huang, Wenhu Chen
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. Trans. Mach. Learn. Res. 2024 (2024)
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
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. CoRR (2024)
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
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR (2024)
Tianle Li, Max Ku, Cong Wei, Wenhu Chen
DreamEdit: Subject-driven Image Editing. CoRR (2023)
Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
Few-shot In-context Learning on Knowledge Base Question Answering. ACL (1) (2023)
Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
Kosmos-G: Generating Images in Context with Multimodal Large Language Models. CoRR (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
On the Risk of Misinformation Pollution with Large Language Models. CoRR (2023)
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
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. CoRR (2023)
Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing. CoRR (2023)
Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) (2023)
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
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CoRR (2023)
Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang
EDIS: Entity-Driven Image Search over Multimodal Web Content. CoRR (2023)
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. CoRR (2023)
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 Dannenbert, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. CoRR (2023)
Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang
EDIS: Entity-Driven Image Search over Multimodal Web Content. EMNLP (2023)
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
LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT. ISMIR (2023)
Wenhu Chen, Ming Yin, Max Ku, Elaine Wan, Xueguang Ma, Jianyu Xu, Tony Xia, Xinyi Wang, Pan Lu
TheoremQA: A Theorem-driven Question Answering dataset. CoRR (2023)
Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
Few-shot In-context Learning for Knowledge Base Question Answering. CoRR (2023)
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
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. CoRR (2023)
Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. CoRR (2023)
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
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. NeurIPS (2023)
William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI (2023)
Tianle Li, Max Ku, Cong Wei, Wenhu Chen
DreamEdit: Subject-driven Image Editing. Trans. Mach. Learn. Res. 2023 (2023)
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS (2023)
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. ICLR (2023)
Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR (2023)
Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR (2023)
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
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT. CoRR (2023)
Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response. CoRR (2023)
Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR (2023)
Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing. NeurIPS (2023)
Wenhu Chen
Large Language Models are few(1)-shot Table Reasoners. EACL (Findings) (2023)
Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. CoRR (2023)
Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP (2023)
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. CoRR (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Wang
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) (2023)
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL (2023)
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
Interactive Natural Language Processing. CoRR (2023)
Yubo Wang, Xueguang Ma, Wenhu Chen
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering. CoRR (2023)
Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun
DePlot: One-shot visual language reasoning by plot-to-table translation. ACL (Findings) (2023)
Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen
ImagenHub: Standardizing the evaluation of conditional image generation models. CoRR (2023)
Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan
Controllable Dialogue Simulation with In-context Learning. EMNLP (Findings) (2022)
Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR (2022)
Wenhu Chen
Large Language Models are few(1)-shot Table Reasoners. CoRR (2022)
Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan
Controllable Dialogue Simulation with In-Context Learning. CoRR (2022)
Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. CoRR (2022)
Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan
Explanations from Large Language Models Make Small Reasoners Better. CoRR (2022)
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. CoRR (2022)
Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. ACL (Findings) (2022)
Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. EMNLP (2022)
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. CoRR (2022)
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR (2022)
Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. CoRR (2022)

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Publication Activity (10 Years)

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Wenhu Chen