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ORCIDTianyu Liu 0001
Person information
- affiliation: Alibaba Group, Qwen Team, Beijing, China
- affiliation (former): Tencent, Cloud AI, Beijing, China
- affiliation (former, PhD 2021): Peking University, Key Laboratory of Computational Linguistics, Beijing, China
- not to be confused with: Tianyu Liu 0004
Other persons with the same name
- Tianyu Liu (aka: Tian-Yu Liu) — disambiguation page
- Tianyu Liu 0002 — University of Wisconsin-Madison, Madison, WI, USA
- Tianyu Liu 0003
![[0000-0002-8117-1201]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8117-1201")
— University of Duisburg-Essen, Duisburg, Germany (and 1 more) - Tianyu Liu 0004 — ETH Zürich, Switzerland (and 1 more)
- Tianyu Liu 0005 — Yale University, Department of Biostatistics, New Haven, CT, USA (and 1 more)
- Tianyu Liu 0006 — Shandong Normal University, School of Information Science and Engineering, Jinan, China (and 1 more)
- Tianyu Liu 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Tianyu Liu 0008 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (and 1 more)
- Tianyu Liu 0009 — Shanghai Maritime University, School of Information Engineering, China
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2020 – today
- 2026
[i69]Liang Chen, Weichu Xie, Yiyan Liang, Hongfeng He, Hans Zhao, Zhibo Yang, Zhiqi Huang, Haoning Wu, Haoyu Lu, Y. Charles, Yiping Bao, Yuantao Fan, Guopeng Li, Haiyang Shen, Xuanzhong Chen, Wendong Xu, Shuzheng Si, Zefan Cai, Wenhao Chai, Ziqi Huang, Fangfu Liu, Tianyu Liu, Baobao Chang, Xiaobo Hu, Kaiyuan Chen, Yixin Ren, Yang Liu, Yuan Gong, Kuan Li:
BabyVision: Visual Reasoning Beyond Language. CoRR abs/2601.06521 (2026)- 2025
- [c56]Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li:
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. ACL (Findings) 2025: 6449-6466 - [c55]Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang:
Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. ACL (Findings) 2025: 7652-7665 - [c54]Feifan Song, Shaohang Wei, Wen Luo, Yuxuan Fan, Tianyu Liu, Guoyin Wang, Houfeng Wang:
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding. ACL (Findings) 2025: 12654-12670 - [c53]Jian Yang, Wei Zhang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin:
Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning. ACL (1) 2025: 13121-13131 - [c52]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. ACL (Findings) 2025: 14588-14604 - [c51]Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu:
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. CVPR 2025: 24657-24668 - [c50]Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. ICLR 2025 - [c49]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. ICLR 2025 - [c48]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. NAACL (Long Papers) 2025: 4805-4822 - [i68]Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin:
Enabling Scalable Oversight via Self-Evolving Critic. CoRR abs/2501.05727 (2025) - [i67]Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin:
RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. CoRR abs/2501.14492 (2025) - [i66]Jian Yang, Wei Zhang, Jiaxi Yang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin:
Multi-Agent Collaboration for Multilingual Code Instruction Tuning. CoRR abs/2502.07487 (2025) - [i65]Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang:
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. CoRR abs/2502.16614 (2025) - [i64]Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang:
A Comprehensive Survey on Long Context Language Modeling. CoRR abs/2503.17407 (2025) - [i63]Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng:
CellVerse: Do Large Language Models Really Understand Cell Biology? CoRR abs/2505.07865 (2025) - [i62]Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang:
G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. CoRR abs/2505.13426 (2025) - [i61]Feifan Song, Shaohang Wei, Wen Luo, Yuxuan Fan, Tianyu Liu, Guoyin Wang, Houfeng Wang:
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding. CoRR abs/2506.07434 (2025) - [i60]Ruijie Zhu, Tianhao Peng, Tianhao Cheng, Xingwei Qu, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian:
A Survey on Latent Reasoning. CoRR abs/2507.06203 (2025) - [i59]Linzheng Chai, Jian Yang, Shukai Liu, Wei Zhang, Liran Wang, Ke Jin, Tao Sun, Congnan Liu, Chenchen Zhang, Hualei Zhu, Jiaheng Liu, Xianjie Wu, Ge Zhang, Tianyu Liu, Zhoujun Li:
Multilingual Multimodal Software Developer for Code Generation. CoRR abs/2507.08719 (2025) - [i58]Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang:
P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis. CoRR abs/2508.04626 (2025) - [i57]Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding:
ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models. CoRR abs/2509.22556 (2025) - [i56]Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou:
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning. CoRR abs/2509.24222 (2025) - [i55]Feifan Song, Shaohang Wei, Bofei Gao, Yejie Wang, Wen Luo, Wei Li, Linli Yao, Weimin Xiong, Liang Chen, Tianyu Liu, Houfeng Wang:
Mitigating Overthinking through Reasoning Shaping. CoRR abs/2510.09535 (2025) - [i54]Jian Yang, Xianglong Liu, Weifeng Lv, Ken Deng, Shawn Guo, Lin Jing, Yizhi Li, Shark Liu, Xianzhen Luo, Yuyu Luo, Changzai Pan, Ensheng Shi, Yingshui Tan, Renshuai Tao, Jiajun Wu, Xianjie Wu, Zhenhe Wu, Daoguang Zan, Chenchen Zhang, Wei Zhang, He Zhu, Terry Yue Zhuo, Kerui Cao, Xianfu Cheng, Jun Dong, Shengjie Fang, Zhiwei Fei, Xiangyuan Guan, Qipeng Guo, Zhiguang Han, Joseph James, Tianqi Luo, Renyuan Li, Yuhang Li, Yiming Liang, Congnan Liu, Jiaheng Liu, Qian Liu, Ruitong Liu, Tyler Loakman, Xiangxin Meng, Chuang Peng, Tianhao Peng, Jiajun Shi, Mingjie Tang, Boyang Wang, Haowen Wang, Yunli Wang, Fanglin Xu, Zihan Xu, Fei Yuan, Ge Zhang, Jiayi Zhang, Xinhao Zhang, Wangchunshu Zhou, Hualei Zhu, King Zhu, Bryan Dai, Aishan Liu, Zhoujun Li, Chenghua Lin, Tianyu Liu, Chao Peng, Kai Shen, Libo Qin, Shuangyong Song, Zizheng Zhan, Jiajun Zhang, Jie Zhang, Zhaoxiang Zhang, Bo Zheng:
From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence. CoRR abs/2511.18538 (2025) - 2024
- [c47]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) 2024: 1086-1104 - [c46]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) 2024: 7655-7671 - [c45]Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. ACL (1) 2024: 9440-9450 - [c44]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. ECCV (81) 2024: 19-35 - [c43]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024: 1531-1555 - [c42]Zefan Cai, Xin Zheng, Tianyu Liu, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao:
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. NAACL-HLT 2024: 5431-5452 - [i53]Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui:
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR abs/2401.07851 (2024) - [i52]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR abs/2402.15527 (2024) - [i51]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i50]Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR abs/2406.02069 (2024) - [i49]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR abs/2406.12809 (2024) - [i48]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i47]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i46]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i45]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i44]An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang:
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. CoRR abs/2409.12122 (2024) - [i43]Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin:
Qwen2.5-Coder Technical Report. CoRR abs/2409.12186 (2024) - [i42]Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li:
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. CoRR abs/2409.18980 (2024) - [i41]Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. CoRR abs/2410.01912 (2024) - [i40]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR abs/2410.07985 (2024) - [i39]Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng:
Aligning CodeLLMs with Direct Preference Optimization. CoRR abs/2410.18585 (2024) - [i38]Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu:
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. CoRR abs/2411.17451 (2024) - [i37]Jian Yang, Jiajun Zhang, Jiaxi Yang, Ke Jin, Lei Zhang, Qiyao Peng, Ken Deng, Yibo Miao, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin:
ExecRepoBench: Multi-level Executable Code Completion Evaluation. CoRR abs/2412.11990 (2024) - [i36]Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang:
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. CoRR abs/2412.18619 (2024) - 2023
- [c41]Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. ACL (1) 2023: 2231-2243 - [c40]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. ACL (Findings) 2023: 10053-10062 - [c39]Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui:
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. EMNLP (Findings) 2023: 2009-2026 - [c38]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. EMNLP (Findings) 2023: 14557-14570 - [i35]Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Enhancing Continual Relation Extraction via Classifier Decomposition. CoRR abs/2305.04636 (2023) - [i34]Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
RepCL: Exploring Effective Representation for Continual Text Classification. CoRR abs/2305.07289 (2023) - [i33]Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. CoRR abs/2305.14652 (2023) - [i32]Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao:
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. CoRR abs/2305.14751 (2023) - [i31]Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. CoRR abs/2305.17926 (2023) - [i30]Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui:
Making Large Language Models Better Reasoners with Alignment. CoRR abs/2309.02144 (2023) - [i29]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR abs/2310.02071 (2023) - [i28]Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li:
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. CoRR abs/2310.06362 (2023) - [i27]Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - 2022
- [c37]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c36]Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui:
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) 2022: 932-946 - [c35]Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan:
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. ACL (1) 2022: 6723-6737 - [c34]Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui:
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. EMNLP (Findings) 2022: 3214-3229 - [c33]Yu Hai, Liang Wen, Haoran Meng, Tianyu Liu, Houfeng Wang:
Learning Invariant Representation Improves Robustness for MRC Models. EMNLP (Findings) 2022: 3306-3314 - [c32]Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. EMNLP 2022: 3740-3751 - [c31]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. EMNLP 2022: 6264-6278 - [c30]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI 2022: 4397-4403 - [c29]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c28]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c27]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [i26]Hua Liang, Tianyu Liu, Peiyi Wang, Meng-Liang Rao, Yunbo Cao:
SmartSales: Sales Script Extraction and Analysis from Sales Chatlog. CoRR abs/2204.08811 (2022) - [i25]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i24]Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang:
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. CoRR abs/2204.13413 (2022) - [i23]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i22]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR abs/2205.00633 (2022) - [i21]Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. CoRR abs/2209.00243 (2022) - [i20]Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui:
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. CoRR abs/2210.04497 (2022) - [i19]Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui:
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. CoRR abs/2210.11279 (2022) - [i18]Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. CoRR abs/2212.07112 (2022) - 2021
- [c26]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI 2021: 13415-13423 - [c25]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. ACL/IJCNLP (1) 2021: 3533-3546 - [c24]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c23]Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu:
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation. EMNLP (Findings) 2021: 918-923 - [c22]Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu:
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT 2021: 5524-5531 - [i17]Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang:
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. CoRR abs/2102.08549 (2021) - [i16]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR abs/2102.08585 (2021) - [i15]Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan:
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. CoRR abs/2104.08704 (2021) - [i14]Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei:
Premise-based Multimodal Reasoning: A Human-like Cognitive Process. CoRR abs/2105.07122 (2021) - [i13]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. CoRR abs/2105.14924 (2021) - [i12]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i11]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i10]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i9]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021) - 2020
- [c21]Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui:
An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING 2020: 5696-5701 - [c20]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL 2020: 596-608 - [c19]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. EMNLP (1) 2020: 5569-5582 - [c18]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) 2020: 8189-8202 - [c17]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC 2020: 6852-6860 - [i8]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR abs/2003.02756 (2020) - [i7]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. CoRR abs/2010.02789 (2020) - [i6]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR abs/2010.03760 (2020) - [i5]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR abs/2010.03777 (2020)
2010 – 2019
- 2019
- [c16]Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI 2019: 6786-6793 - [c15]Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun:
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge. ACL (1) 2019: 2002-2012 - [c14]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. ACL (1) 2019: 2047-2057 - [c13]Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun:
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction. ACL (1) 2019: 3190-3196 - [c12]Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui:
Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) 2019: 5985-5996 - [c11]Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun:
Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) 2019: 6020-6026 - [i4]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. CoRR abs/1908.03067 (2019) - 2018
- [c10]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c9]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c8]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) 2018: 2473-2482 - [c7]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c6]Wei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma:
Phrase-level Self-Attention Networks for Universal Sentence Encoding. EMNLP 2018: 3729-3738 - [i3]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. CoRR abs/1805.08028 (2018) - 2017
- [c5]Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP 2017: 210-220 - [c4]Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui:
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP 2017: 1790-1795 - [c3]Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui:
Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC 2017: 75-87 - [i2]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i1]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c2]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c1]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354
Coauthor Index
[i69] [c55] [c52] [c50] [c49] [c48] [i62] [c47] [c44] [c42] [i52] [i51] [i50] [i48] [i47] [i45] [i41] [i40] [i36] [i32] [i29] [i27] [c37] [c36] [c30] [c29] [c28] [c27] [i25] [i23] [i22] [c26] [c25] [c24] [c22] [i16] [i13] [i12] [i11] [i10] [i9] [c21] [c20] [c18] [c17] [i8] [i6] [i5] [c16] [c12] [c11] [c10] [c9] [c8] [c7] [i3] [c5] [c4] [c3] [i2] [i1] [c2] [c1]
[c46] [c45] [c43] [i53] [i49] [i45] [c41] [c40] [c39] [c38] [i35] [i34] [i33] [i31] [i30] [i28] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [c26] [c24] [c22] [i16] [i15] [i12] [i11] [i10] [i9] [c21] [c20] [c18] [c17] [i8] [i6] [i5] [c16] [c12] [c11] [c10] [c9] [c8] [c7] [i3] [c5] [c4] [c3] [i2] [i1] [c2] [c1]
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