Towards Time-Aware Knowledge Graph Completion. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Baobao Chang; Sujian Li; Zhifang Sui (COLING, 2016)

Encoding Temporal Information for Time-Aware Link Prediction. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (EMNLP, 2016)

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. - Tianyu Liu 001; Kexiang Wang; Baobao Chang; Zhifang Sui (EMNLP, 2017)

Affinity-Preserving Random Walk for Multi-Document Summarization. - Kexiang Wang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (EMNLP, 2017)

Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. - Tianyu Liu 001; Bingzhen Wei; Baobao Chang; Zhifang Sui (NLPCC, 2017)

Table-to-Text Generation by Structure-Aware Seq2seq Learning. - Tianyu Liu 001; Kexiang Wang; Lei Sha; Baobao Chang; Zhifang Sui (AAAI, 2018)

Order-Planning Neural Text Generation From Structured Data. - Lei Sha; Lili Mou; Tianyu Liu 001; Pascal Poupart; Sujian Li; Baobao Chang; Zhifang Sui (AAAI, 2018)

Incorporating Glosses into Neural Word Sense Disambiguation. - Fuli Luo; Tianyu Liu 001; Qiaolin Xia; Baobao Chang; Zhifang Sui (ACL (1), 2018)

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. - Fuli Luo; Tianyu Liu 001; Zexue He; Qiaolin Xia; Zhifang Sui; Baobao Chang (EMNLP, 2018)

Phrase-level Self-Attention Networks for Universal Sentence Encoding. - Wei Wu 044; Houfeng Wang; Tianyu Liu 001; Shuming Ma (EMNLP, 2018)

Learning to Explain Ambiguous Headlines of Online News. - Tianyu Liu 001; Wei Wei; Xiaojun Wan 001 (IJCAI, 2018)

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. - Tianyu Liu 001; Fuli Luo; Qiaolin Xia; Shuming Ma; Baobao Chang; Zhifang Sui (AAAI, 2019)

Towards Comprehensive Description Generation from Factual Attribute-value Tables. - Tianyu Liu 001; Fuli Luo; Pengcheng Yang; Wei Wu 044; Baobao Chang; Zhifang Sui (ACL (1), 2019)

Towards Improving Neural Named Entity Recognition with Gazetteers. - Tianyu Liu 001; Jin-Ge Yao; Chin-Yew Lin (ACL (1), 2019)

Learning to Control the Fine-grained Sentiment for Story Ending Generation. - Fuli Luo; Damai Dai; Pengcheng Yang; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Xu Sun 001 (ACL (1), 2019)

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. - Shuming Ma; Pengcheng Yang; Tianyu Liu 001; Peng Li 030; Jie Zhou 016; Xu Sun 001 (ACL (1), 2019)

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction. - Pengcheng Yang; Fuli Luo; Peng Chen; Tianyu Liu 001; Xu Sun 001 (ACL (1), 2019)

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge. - Pengcheng Yang; Lei Li 039; Fuli Luo; Tianyu Liu 001; Xu Sun 001 (ACL (1), 2019)

Table-to-Text Natural Language Generation with Unseen Schemas. - Tianyu Liu 001; Wei Wei; William Yang Wang (CoRR, 2019)

An Anchor-Based Automatic Evaluation Metric for Document Summarization. - Kexiang Wang; Tianyu Liu 001; Baobao Chang; Zhifang Sui (COLING, 2020)

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Xiaoan Ding; Baobao Chang; Zhifang Sui (CoNLL, 2020)

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. - Xiaoan Ding; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Kevin Gimpel (EMNLP (1), 2020)

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. - Lifu Tu; Tianyu Liu 001; Kevin Gimpel (EMNLP (1), 2020)

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (LREC, 2020)

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. - Tianyu Liu 001; Xin Zheng; Baobao Chang; Zhifang Sui (AAAI, 2021)

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. - Runxin Xu; Tianyu Liu 001; Lei Li 005; Baobao Chang (ACL/IJCNLP (1), 2021)

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Damai Dai; Baobao Chang; Zhifang Sui (CIKM, 2021)

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation. - Hua Zheng; Lei Li 039; Damai Dai; Deli Chen; Tianyu Liu 001; Xu Sun 001; Yang Liu 005 (EMNLP (Findings), 2021)

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. - Hua Zheng; Damai Dai; Lei Li 039; Tianyu Liu 001; Zhifang Sui; Baobao Chang; Yang Liu 124 (NAACL-HLT, 2021)

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. - Damai Dai; Hua Zheng; Fuli Luo; Pengcheng Yang; Tianyu Liu 001; Zhifang Sui; Baobao Chang (RepL4NLP@ACL-IJCNLP, 2021)

Research on System Planning of Gas-Power Integrated System Based on Improved Two-Stage Robust Optimization and Non-Cooperative Game Method. - Yang Liu 209; Tianyu Liu 001 (IEEE Access, 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 209; Tianyu Liu 001; Shusen He (IEEE Access, 2021)

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. - Lianzhe Huang; Peiyi Wang; Sujian Li; Tianyu Liu 001; Xiaodong Zhang 022; Zhicong Cheng; Dawei Yin; Houfeng Wang (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 001; Zuifang Sui; Weidong Zhan; Sujian Li; Zhongyu Wei (CoRR, 2021)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction. - Peiyi Wang; Lianzhe Huang; Tianyu Liu 001; Damai Dai; Runxin Xu; Houfeng Wang; Baobao Chang; Zhifang Sui (CoRR, 2021)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Baobao Chang; Zhifang Sui (CoRR, 2021)

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 001; et al. (ACL (1), 2022)

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. - Tianyu Liu 001; Yizhe Zhang 002; Chris Brockett; Yi Mao; Zhifang Sui; Weizhu Chen; Bill Dolan (ACL (1), 2022)

Hierarchical Curriculum Learning for AMR Parsing. - Peiyi Wang; Liang Chen 024; Tianyu Liu 001; Damai Dai; Yunbo Cao; Baobao Chang; Zhifang Sui (ACL (2), 2022)

Learning Invariant Representation Improves Robustness for MRC Models. - Yu Hai; Liang Wen; Haoran Meng; Tianyu Liu 001; Houfeng Wang (EMNLP (Findings), 2022)

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. - Haoran Meng; Zheng Xin; Tianyu Liu 001; Zizhen Wang; He Feng; Binghuai Lin; Xuemin Zhao; Yunbo Cao; Zhifang Sui (EMNLP (Findings), 2022)

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. - Peiyi Wang; Yifan Song 002; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Sujian Li; Zhifang Sui (EMNLP, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui; Houfeng Wang (EMNLP, 2022)

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan Song 002; Tianyu Liu 001; Baobao Chang; Zhifang Sui (IJCAI, 2022)

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. - Liang Chen 024; Peiyi Wang; Runxin Xu; Tianyu Liu 001; Zhifang Sui; Baobao Chang (NAACL-HLT (Findings), 2022)

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Peiyi Wang; Runxin Xu; Tianyu Liu 001; Qingyu Zhou; Yunbo Cao; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Runxin Xu; Peiyi Wang; Tianyu Liu 001; Shuang Zeng; Baobao Chang; Zhifang Sui (NAACL-HLT, 2022)

SmartSales: Sales Script Extraction and Analysis from Sales Chatlog. - Hua Liang; Tianyu Liu 001; Peiyi Wang; Meng-Liang Rao; Yunbo Cao (CoRR, 2022)

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. - Zihan Wang; Peiyi Wang; Tianyu Liu 001; Yunbo Cao; Zhifang Sui; Houfeng Wang (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 002; Tianyu Liu 001; Rundong Gao; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2022)

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. - Xin Zheng; Tianyu Liu 001; Haoran Meng; Xu Wang; Yufan Jiang; Meng-Liang Rao; Binghuai Lin; Zhifang Sui; Yunbo Cao (CoRR, 2022)

Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. - Shaoxiang Wu; Damai Dai; Ziwei Qin; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (1), 2023)

Enhancing Continual Relation Extraction via Classifier Decomposition. - Heming Xia; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (Findings), 2023)

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. - Yifan Song 002; Peiyi Wang; Weimin Xiong; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (EMNLP (Findings), 2023)

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Tianyu Liu 001; Ziwei Qin; Zhifang Sui (EMNLP (Findings), 2023)

RepCL: Exploring Effective Representation for Continual Text Classification. - Yifan Song 002; Peiyi Wang; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (CoRR, 2023)

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. - Zefan Cai; Xin Zheng; Tianyu Liu 001; Xu Wang; Haoran Meng; Jiaqi Han; Gang Yuan; Binghuai Lin; Baobao Chang; Yunbo Cao (CoRR, 2023)

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. - Shoujie Tong; Heming Xia; Damai Dai; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Dawei Zhu; Binghuai Lin; Yunbo Cao; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

Making Large Language Models Better Reasoners with Alignment. - Peiyi Wang; Lei Li 039; Liang Chen 024; Feifan Song 001; Binghuai Lin; Yunbo Cao; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Tianyu Liu 001; Baobao Chang (CoRR, 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; et al. (CoRR, 2023)

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. - Liang Chen 024; Yichi Zhang; Shuhuai Ren; Haozhe Zhao; Zefan Cai; Yuchi Wang; Peiyi Wang; Xiangdi Meng; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2024)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Zefan Cai; Dawei Zhu; Binghuai Lin; Yunbo Cao; Lingpeng Kong; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (ACL (1), 2024)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. - Liang Chen 024; Haozhe Zhao; Tianyu Liu 001; Shuai Bai; Junyang Lin; Chang Zhou; Baobao Chang (ECCV (81), 2024)

Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research. - Tianyu Liu 001; Yijia Xiao; Xiao Luo 001; Hua Xu 001; Wenjin Jim Zheng; Hongyu Zhao 003 (EMNLP (Findings), 2024)

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? - Zhe Yang 013; Yichang Zhang; Tianyu Liu 001; Jian Yang 003; Junyang Lin; Chang Zhou; Zhifang Sui (EMNLP, 2024)

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. - Zefan Cai; Xin Zheng; Tianyu Liu 001; Haoran Meng; Jiaqi Han; Gang Yuan; Binghuai Lin; Baobao Chang; Yunbo Cao (NAACL-HLT, 2024)

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data. - Fan Zhang 111; Tianyu Liu 001; Zihao Chen; Xiaojiang Peng; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001; Hongyu Zhao 003 (NeurIPS, 2024)

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. - Zefan Cai; Yichi Zhang; Bofei Gao; Yuliang Liu; Tianyu Liu 001; Keming Lu; Wayne Xiong; Yue Dong 002; Baobao Chang; Junjie Hu 001; Wen Xiao (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 001; Tianyu Liu 001; et al. (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. - An Yang; Beichen Zhang; Binyuan Hui; Bofei Gao; Bowen Yu 002; Chengpeng Li 001; Dayiheng Liu; Jianhong Tu; Jingren Zhou 001; Junyang Lin; Keming Lu; Mingfeng Xue; et al. (CoRR, 2024)

Qwen2.5-Coder Technical Report. - Binyuan Hui; Jian Yang 003; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Lei Zhang 201; Tianyu Liu 001; Jiajun Zhang; Bowen Yu 002; Kai Dang; An Yang; Rui Men; et al. (CoRR, 2024)

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. - Hongcheng Guo; Wei Zhang 021; Junhao Chen; Yaonan Gu; Jian Yang 003; Junjia Du; Binyuan Hui; Tianyu Liu 001; Jianxin Ma; Chang Zhou; Zhoujun Li 001 (CoRR, 2024)

Aligning CodeLLMs with Direct Preference Optimization. - Yibo Miao; Bofei Gao; Shanghaoran Quan; Junyang Lin; Daoguang Zan; Jiaheng Liu; Jian Yang 003; Tianyu Liu 001; Zhijie Deng (CoRR, 2024)

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CoRR, 2024)

ExecRepoBench: Multi-level Executable Code Completion Evaluation. - Jian Yang 003; Jiajun Zhang; Jiaxi Yang; Ke Jin; Lei Zhang 201; Qiyao Peng 006; Ken Deng; Yibo Miao; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2024)

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. - Liang Chen 024; Zekun Wang; Shuhuai Ren; Lei Li 039; Haozhe Zhao; Yunshui Li; Zefan Cai; Hongcheng Guo; Lei Zhang 201; Yizhe Xiong; Yichi Zhang; Ruoyu Wu; et al. (CoRR, 2024)

Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding. - Feifan Song 001; Shaohang Wei; Wen Luo 001; Yuxuan Fan; Tianyu Liu 001; Guoyin Wang; Houfeng Wang (ACL (Findings), 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 001; Baobao Chang (ACL (Findings), 2025)

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. - Bofei Gao; Yejie Wang; Yibo Miao; Ruoyu Wu; Feifan Song 001; Longhui Yu; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. - Hongcheng Guo; Wei Zhang 021; Junhao Chen; Yaonan Gu; Jian Yang 003; Junjia Du; Shaosheng Cao; Binyuan Hui; Tianyu Liu 001; Jianxin Ma; Chang Zhou; Zhoujun Li 001 (ACL (Findings), 2025)

Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning. - Jian Yang 003; Wei Zhang 021; Yibo Miao; Shanghaoran Quan; Zhenhe Wu; Qiyao Peng 006; Liqun Yang; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (ACL (1), 2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. - Lei Li 039; Yuancheng Wei; Zhihui Xie 002; Xuqing Yang; Yifan Song 002; Peiyi Wang; Chenxin An; Tianyu Liu 001; Sujian Li; Bill Yuchen Lin; Lingpeng Kong; Qi Liu 049 (CVPR, 2025)

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. - Liang Chen 024; Sinan Tan; Zefan Cai; Weichu Xie; Haozhe Zhao; Yichi Zhang; Junyang Lin; Jinze Bai; Tianyu Liu 001; Baobao Chang (ICLR, 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States. - Tianyu Liu 001; Edward De Brouwer; Tony Kuo; Nathaniel Diamant; Alsu Missarova; Hanchen Wang 002; Minsheng Hao; Héctor Corrada Bravo; Gabriele Scalia; Aviv Regev; Graham Heimberg (RECOMB, 2025)

Enabling Scalable Oversight via Self-Evolving Critic. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

Multi-Agent Collaboration for Multilingual Code Instruction Tuning. - Jian Yang 003; Wei Zhang 021; Jiaxi Yang; Yibo Miao; Shanghaoran Quan; Zhenhe Wu; Qiyao Peng 006; Liqun Yang; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2025)

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. - Alexander Zhang; Marcus Dong; Jiaheng Liu; Wei Zhang 021; Yejie Wang; Jian Yang 003; Ge Zhang 009; Tianyu Liu 001; Zhongyuan Peng; Yingshui Tan; Yuanxing Zhang; Zhexu Wang; et al. (CoRR, 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 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning. - Tianyu Liu 001; Simeng Han; Xiao Luo 001; Hanchen Wang 002; Pan Lu; Biqing Zhu; Yuge Wang; Keyi Li; Jiapeng Chen; Rihao Qu; Yufeng Liu; Xinyue Cui; et al. (CoRR, 2025)

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. - Liang Chen 024; Hongcheng Gao; Tianyu Liu 001; Zhiqi Huang; Flood Sung; Xinyu Zhou; Yuxin Wu; Baobao Chang (CoRR, 2025)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

Multilingual Multimodal Software Developer for Code Generation. - Linzheng Chai; Jian Yang 030; Shukai Liu; Wei Zhang 021; Liran Wang; Ke Jin; Tao Sun 016; Congnan Liu; Chenchen Zhang; Hualei Zhu; Jiaheng Liu; Xianjie Wu; et al. (CoRR, 2025)

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis. - Feifan Song 001; Bofei Gao; Yifan Song 002; Yi Liu; Weimin Xiong; Yuyang Song; Tianyu Liu 001; Guoyin Wang; Houfeng Wang (CoRR, 2025)