Tianyu Liu

According to our database, Tianyu Liu authored at least 101 papers between 2016 and 2025.

Collaborative distances:

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

2025

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis.

Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang

CoRR, August, 2025

Multilingual Multimodal Software Developer for Code Generation.

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

CoRR, July, 2025

A Survey on Latent Reasoning.

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

CoRR, July, 2025

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning.

Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang

CoRR, May, 2025

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning.

Tianyu Liu, Simeng Han, Xiao Luo, Hanchen Wang, Pan Lu, Biqing Zhu, Yuge Wang, Keyi Li, Jiapeng Chen, Rihao Qu, Yufeng Liu, Xinyue Cui, Aviv Yaish, Yuhang Chen, Minsheng Hao, Chuhan Li, Kexing Li, Arman Cohan, Hua Xu, Mark Gerstein, James Zou, Hongyu Zhao

CoRR, May, 2025

A Comprehensive Survey on Long Context Language Modeling.

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

CoRR, March, 2025

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models.

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

CoRR, February, 2025

Multi-Agent Collaboration for Multilingual Code Instruction Tuning.

Jian Yang, Wei Zhang, Jiaxi Yang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin

CoRR, February, 2025

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques.

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin

CoRR, January, 2025

Enabling Scalable Oversight via Self-Evolving Critic.

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin

CoRR, January, 2025

Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States.

Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg

Proceedings of the Research in Computational Molecular Biology, 2025

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.

Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning.

Jian Yang, Wei Zhang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.

Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.

Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding.

Feifan Song, Shaohang Wei, Wen Luo, Yuxuan Fan, Tianyu Liu, Guoyin Wang, Houfeng Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.

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

CoRR, 2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation.

Jian Yang, Jiajun Zhang, Jiaxi Yang, Ke Jin, Lei Zhang, Qiyao Peng, Ken Deng, Yibo Miao, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin

CoRR, 2024

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

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

CoRR, 2024

Aligning CodeLLMs with Direct Preference Optimization.

Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng

CoRR, 2024

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.

Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li

CoRR, 2024

Qwen2.5-Coder Technical Report.

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

CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

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

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

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

CoRR, 2024

Qwen2 Technical Report.

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

CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

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

CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao

CoRR, 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data.

Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade.

Zefan Cai, Xin Zheng, Tianyu Liu, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.

Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, Wenjin Jim Zheng, Hongyu Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

Proceedings of the Computer Vision - ECCV 2024, 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

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

CoRR, 2023

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2023

Making Large Language Models Better Reasoners with Alignment.

Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui

CoRR, 2023

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui

CoRR, 2023

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization.

Shoujie Tong, Heming Xia, Damai Dai, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

CoRR, 2023

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade.

Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao

CoRR, 2023

RepCL: Exploring Effective Representation for Continual Text Classification.

Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li

CoRR, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui

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

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective.

Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li

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

Enhancing Continual Relation Extraction via Classifier Decomposition.

Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

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

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion.

Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

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

2022

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog.

Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao

CoRR, 2022

Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach.

Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui

CoRR, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang

CoRR, 2022

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog.

Hua Liang, Tianyu Liu, Peiyi Wang, Meng-Liang Rao, Yunbo Cao

CoRR, 2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.

Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.

Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.

Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang

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

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances.

Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.

Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang

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

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation.

Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui

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

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection.

Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui

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

Learning Invariant Representation Improves Robustness for MRC Models.

Yu Hai, Liang Wen, Haoran Meng, Tianyu Liu, Houfeng Wang

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

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.

Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui

CoRR, 2021

Explicit Interaction Network for Aspect Sentiment Triplet Extraction.

Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui

CoRR, 2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process.

Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei

CoRR, 2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction.

Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang

CoRR, 2021

Coordination and Optimization of CCHP Microgrid Group Game Based on the Interaction of Electric and Thermal Energy Considering Conditional Value at Risk.

Yang Liu, Tianyu Liu, Shusen He

IEEE Access, 2021

Research on System Planning of Gas-Power Integrated System Based on Improved Two-Stage Robust Optimization and Non-Cooperative Game Method.

Yang Liu, Tianyu Liu

IEEE Access, 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.

Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.

Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu

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

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.

Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu

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

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification.

Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang

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

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View.

Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference.

Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks.

Lifu Tu, Tianyu Liu, Kevin Gimpel

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

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference.

Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel

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

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference.

Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

An Anchor-Based Automatic Evaluation Metric for Document Summarization.

Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Table-to-Text Natural Language Generation with Unseen Schemas.

Tianyu Liu, Wei Wei, William Yang Wang

CoRR, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.

Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun

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

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.

Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun

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

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation.

Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun

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

Learning to Control the Fine-grained Sentiment for Story Ending Generation.

Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun

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

Towards Improving Neural Named Entity Recognition with Gazetteers.

Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin

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

Towards Comprehensive Description Generation from Factual Attribute-value Tables.

Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui

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

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables.

Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning to Explain Ambiguous Headlines of Online News.

Tianyu Liu, Wei Wei, Xiaojun Wan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Phrase-level Self-Attention Networks for Universal Sentence Encoding.

Wei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma

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

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.

Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang

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

Incorporating Glosses into Neural Word Sense Disambiguation.

Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui

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

Order-Planning Neural Text Generation From Structured Data.

Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Table-to-Text Generation by Structure-Aware Seq2seq Learning.

Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Large-Scale Simple Question Generation by Template-Based Seq2seq Learning.

Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Affinity-Preserving Random Walk for Multi-Document Summarization.

Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction.

Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Encoding Temporal Information for Time-Aware Link Prediction.

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Time-Aware Knowledge Graph Completion.

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui

Proceedings of the COLING 2016, 2016