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2020 – today
- 2024
- [j4]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) - [j3]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) - [c69]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: 4243-4253 - [c68]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: 6252-6271 - [c67]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: 6416-6432 - [c66]Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen:
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. ACL (1) 2024: 12268-12290 - [c65]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: 12560-12574 - [c64]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: 12834-12859 - [c63]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. CVPR 2024: 4754-4763 - [c62]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:
MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CVPR 2024: 9556-9567 - [c61]Yubo Wang, Xueguang Ma, Wenhu Chen:
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. EMNLP (Findings) 2024: 1754-1770 - [c60]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:
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. EMNLP 2024: 2105-2123 - [c59]Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin:
Unifying Multimodal Retrieval via Document Screenshot Embedding. EMNLP 2024: 6492-6505 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML 2024 - [c53]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. ICML 2024 - [c52]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. NAACL-HLT (Findings) 2024: 3643-3655 - [c51]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. WACV 2024: 2908-2918 - [i104]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 abs/2401.01952 (2024) - [i103]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 abs/2401.06477 (2024) - [i102]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 abs/2401.06951 (2024) - [i101]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 abs/2401.11944 (2024) - [i100]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 abs/2401.13478 (2024) - [i99]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 abs/2402.03268 (2024) - [i98]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 abs/2402.04154 (2024) - [i97]Weiming Ren, Harry Yang, Ge Zhang, Cong Wei, Xinrun Du, Stephen Huang, Wenhu Chen:
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. CoRR abs/2402.04324 (2024) - [i96]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 abs/2402.13109 (2024) - [i95]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 abs/2402.14658 (2024) - [i94]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 abs/2402.16153 (2024) - [i93]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 abs/2402.16671 (2024) - [i92]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 abs/2403.04233 (2024) - [i91]Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang:
Reward Guided Latent Consistency Distillation. CoRR abs/2403.11027 (2024) - [i90]Max Ku, Cong Wei, Weiming Ren, Harry Yang, Wenhu Chen:
AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks. CoRR abs/2403.14468 (2024) - [i89]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 abs/2403.18058 (2024) - [i88]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 abs/2403.19651 (2024) - [i87]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 abs/2404.01204 (2024) - [i86]Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen:
Long-context LLMs Struggle with Long In-context Learning. CoRR abs/2404.02060 (2024) - [i85]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 abs/2404.03543 (2024) - [i84]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 abs/2404.04167 (2024) - [i83]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 abs/2404.06393 (2024) - [i82]Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen:
MANTIS: Interleaved Multi-Image Instruction Tuning. CoRR abs/2405.01483 (2024) - [i81]Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen:
MAmmoTH2: Scaling Instructions from the Web. CoRR abs/2405.03548 (2024) - [i80]Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen, Jimmy Lin:
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models. CoRR abs/2405.10311 (2024) - [i79]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 abs/2405.18750 (2024) - [i78]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 abs/2405.19327 (2024) - [i77]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 abs/2406.01574 (2024) - [i76]Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen:
GenAI Arena: An Open Evaluation Platform for Generative Models. CoRR abs/2406.04485 (2024) - [i75]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 abs/2406.08656 (2024) - [i74]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 abs/2406.11069 (2024) - [i73]Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin:
Unifying Multimodal Retrieval via Document Screenshot Embedding. CoRR abs/2406.11251 (2024) - [i72]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 abs/2406.13923 (2024) - [i71]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 abs/2406.15252 (2024) - [i70]Ziyan Jiang, Xueguang Ma, Wenhu Chen:
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs. CoRR abs/2406.15319 (2024) - [i69]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 abs/2406.17588 (2024) - [i68]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, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - [i67]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:
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. CoRR abs/2409.02813 (2024) - 2023
- [j2]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) - [j1]Tianle Li, Max Ku, Cong Wei, Wenhu Chen:
DreamEdit: Subject-driven Image Editing. Trans. Mach. Learn. Res. 2023 (2023) - [c50]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: 15385-15392 - [c49]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: 6966-6980 - [c48]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: 10381-10399 - [c47]Wenhu Chen:
Large Language Models are few(1)-shot Table Reasoners. EACL (Findings) 2023: 1090-1100 - [c46]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: 1589-1602 - [c45]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403 - [c44]Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang:
EDIS: Entity-Driven Image Search over Multimodal Web Content. EMNLP 2023: 4877-4894 - [c43]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: 7889-7901 - [c42]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. ICLR 2023 - [c41]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) 2023: 525-539 - [c40]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: 343-351 - [c39]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 - [c38]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 - [c37]Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su:
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing. NeurIPS 2023 - [c36]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: 3464-3467 - [i66]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 abs/2304.00186 (2023) - [i65]Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen:
Few-shot In-context Learning for Knowledge Base Question Answering. CoRR abs/2305.01750 (2023) - [i64]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. CoRR abs/2305.12524 (2023) - [i63]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 abs/2305.13246 (2023) - [i62]Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang:
EDIS: Entity-Driven Image Search over Multimodal Web Content. CoRR abs/2305.13631 (2023) - [i61]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 abs/2305.13661 (2023) - [i60]Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang:
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR abs/2305.13712 (2023) - [i59]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 abs/2306.00107 (2023) - [i58]Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su:
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing. CoRR abs/2306.10012 (2023) - [i57]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. CoRR abs/2306.10548 (2023) - [i56]Tianle Li, Max Ku, Cong Wei, Wenhu Chen:
DreamEdit: Subject-driven Image Editing. CoRR abs/2306.12624 (2023) - [i55]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 abs/2306.17103 (2023) - [i54]Yubo Wang, Xueguang Ma, Wenhu Chen:
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering. CoRR abs/2309.02233 (2023) - [i53]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 abs/2309.05653 (2023) - [i52]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 abs/2309.08730 (2023) - [i51]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 abs/2310.00746 (2023) - [i50]Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen:
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks. CoRR abs/2310.00752 (2023) - [i49]Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen:
ImagenHub: Standardizing the evaluation of conditional image generation models. CoRR abs/2310.01596 (2023) - [i48]Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei:
Kosmos-G: Generating Images in Context with Multimodal Large Language Models. CoRR abs/2310.02992 (2023) - [i47]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 abs/2311.16502 (2023) - [i46]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 abs/2311.17136 (2023) - [i45]Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen:
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation. CoRR abs/2312.14867 (2023) - 2022
- [c35]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: 481-492 - [c34]Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan:
Controllable Dialogue Simulation with In-context Learning. EMNLP (Findings) 2022: 4330-4347 - [c33]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: 5558-5570 - [i44]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 abs/2204.04581 (2022) - [i43]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 abs/2204.13243 (2022) - [i42]Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR abs/2207.00630 (2022) - [i41]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. CoRR abs/2209.14491 (2022) - [i40]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 abs/2210.02928 (2022) - [i39]Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan:
Controllable Dialogue Simulation with In-Context Learning. CoRR abs/2210.04185 (2022) - [i38]Wenhu Chen:
Large Language Models are few(1)-shot Table Reasoners. CoRR abs/2210.06710 (2022) - [i37]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 abs/2210.06726 (2022) - [i36]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. CoRR abs/2211.10950 (2022) - [i35]Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen:
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR abs/2211.12588 (2022) - [i34]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. CoRR abs/2212.10505 (2022) - 2021
- [b1]Wenhu Chen:
Accessing Diverse Web Knowledge with Natural Language Interface. University of California, Santa Barbara, USA, 2021 - [c32]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c31]Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su:
A Systematic Investigation of KB-Text Embedding Alignment at Scale. ACL/IJCNLP (1) 2021: 1764-1774 - [c30]Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan:
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. EMNLP (Findings) 2021: 1006-1015 - [c29]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:
FinQA: A Dataset of Numerical Reasoning over Financial Data. EMNLP (1) 2021: 3697-3711 - [c28]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. ICLR 2021 - [c27]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [c26]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks 2021 - [c25]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. NeurIPS 2021: 404-416 - [c24]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS 2021: 25072-25085 - [c23]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i33]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i32]Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su:
A Systematic Investigation of KB-Text Embedding Alignment at Scale. CoRR abs/2106.01586 (2021) - [i31]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR abs/2106.03831 (2021) - [i30]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. CoRR abs/2106.06528 (2021) - [i29]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. CoRR abs/2108.06314 (2021) - [i28]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:
FinQA: A Dataset of Numerical Reasoning over Financial Data. CoRR abs/2109.00122 (2021) - [i27]Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan:
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. CoRR abs/2109.06466 (2021) - [i26]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - 2020
- [c22]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c21]Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang:
Few-Shot NLG with Pre-Trained Language Model. ACL 2020: 183-190 - [c20]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. ACL 2020: 7929-7942 - [c19]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR 2020: 10897-10907 - [c18]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. EMNLP (Findings) 2020: 1026-1036 - [c17]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. EMNLP (Findings) 2020: 2096-2111 - [c16]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP (1) 2020: 8635-8648 - [c15]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR 2020 - [i25]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR abs/2001.02332 (2020) - [i24]Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu:
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR abs/2003.11618 (2020) - [i23]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. CoRR abs/2004.07347 (2020) - [i22]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. CoRR abs/2004.10404 (2020) - [i21]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. CoRR abs/2004.14579 (2020) - [i20]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. CoRR abs/2010.02307 (2020) - [i19]Yilin Shen, Wenhu Chen, Hongxia Jin:
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN. CoRR abs/2010.08101 (2020) - [i18]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. CoRR abs/2010.10439 (2020) - [i17]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020)
2010 – 2019
- 2019
- [c14]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. ACL (1) 2019: 1324-1330 - [c13]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c12]Yilin Shen, Wenhu Chen, Hongxia Jin:
Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance. INTERSPEECH 2019: 1328-1332 - [c11]Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan:
Mining Algorithm Roadmap in Scientific Publications. KDD 2019: 1083-1092 - [c10]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. NAACL-HLT (1) 2019: 3487-3497 - [c9]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS 2019: 5244-5254 - [i16]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. CoRR abs/1902.10339 (2019) - [i15]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i14]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. CoRR abs/1906.00550 (2019) - [i13]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR abs/1907.00235 (2019) - [i12]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR abs/1909.02164 (2019) - [i11]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. CoRR abs/1910.03230 (2019) - 2018
- [c8]Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. ACL (1) 2018: 56-65 - [c7]Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang:
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. ACL (1) 2018: 899-909 - [c6]Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. CVPR 2018: 4213-4222 - [c5]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018: 414-424 - [c4]Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Generative Bridging Network for Neural Sequence Prediction. NAACL-HLT 2018: 1706-1715 - [c3]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. NAACL-HLT 2018: 1823-1832 - [i10]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. CoRR abs/1803.06581 (2018) - [i9]Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang:
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. CoRR abs/1804.09160 (2018) - [i8]Shuo Ren, Wenhu Chen, Shujie Liu, Mu Li, Ming Zhou, Shuai Ma:
Triangular Architecture for Rare Language Translation. CoRR abs/1805.04813 (2018) - [i7]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR abs/1808.06244 (2018) - [i6]Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Approximate Distribution Matching for Sequence-to-Sequence Learning. CoRR abs/1808.08003 (2018) - [i5]Wenhu Chen, Yilin Shen, Xin Wang, William Yang Wang:
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection. CoRR abs/1811.07308 (2018) - 2017
- [i4]Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou:
Neural Sequence Prediction by Coaching. CoRR abs/1706.09152 (2017) - [i3]Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. CoRR abs/1711.11135 (2017) - 2016
- [c2]Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
Guided Alignment Training for Topic-Aware Neural Machine Translation. AMTA (1) 2016: 121-134 - [i2]Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
Guided Alignment Training for Topic-Aware Neural Machine Translation. CoRR abs/1607.01628 (2016) - [i1]Wenhu Chen, Aurélien Lucchi, Thomas Hofmann:
Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning. CoRR abs/1611.05321 (2016) - 2013
- [c1]Zhao Zhong, Gang Shen, Wenhu Chen:
Facial Emotion Recognition Using PHOG and a Hierarchical Expression Model. INCoS 2013: 741-746
Coauthor Index
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