FANDA: A Novel Approach to Perform Follow-Up Query Analysis. - Qian Liu 033; Bei Chen 008; Jian-Guang Lou; Ge Jin; Dongmei Zhang 001 (AAAI, 2019)

A Split-and-Recombine Approach for Follow-up Query Analysis. - Qian Liu 033; Bei Chen 008; Haoyan Liu 001; Jian-Guang Lou; Lei Fang 004; Bin Zhou; Dongmei Zhang 001 (EMNLP/IJCNLP (1), 2019)

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL. - Haoyan Liu 001; Lei Fang 004; Qian Liu 033; Bei Chen 008; Jian-Guang Lou; Zhoujun Li 001 (EMNLP/IJCNLP (1), 2019)

You Impress Me: Dialogue Generation via Mutual Persona Perception. - Qian Liu 033; Yihong Chen; Bei Chen 008; Jian-Guang Lou; Zixuan Chen; Bin Zhou; Dongmei Zhang 001 (ACL, 2020)

Benchmarking Meaning Representations in Neural Semantic Parsing. - Jiaqi Guo; Qian Liu 033; Jian-Guang Lou; Zhenwen Li; Xueqing Liu 001; Tao Xie 001; Ting Liu 002 (EMNLP (1), 2020)

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. - Yuntao Li; Bei Chen 008; Qian Liu 033; Yan Gao 002; Jian-Guang Lou; Yan Zhang 117; Dongmei Zhang 001 (EMNLP (1), 2020)

Incomplete Utterance Rewriting as Semantic Segmentation. - Qian Liu 033; Bei Chen 008; Jian-Guang Lou; Bin Zhou; Dongmei Zhang 001 (EMNLP (1), 2020)

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. - Qian Liu 033; Bei Chen 008; Jiaqi Guo; Jian-Guang Lou; Bin Zhou; Dongmei Zhang 001 (IJCAI, 2020)

RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. - Yu Zeng; Yan Gao 002; Jiaqi Guo; Bei Chen 008; Qian Liu 033; Jian-Guang Lou; Fei Teng 001; Dongmei Zhang 001 (IJCAI, 2020)

Compositional Generalization by Learning Analytical Expressions. - Qian Liu 033; Shengnan An; Jian-Guang Lou; Bei Chen 008; Zeqi Lin; Yan Gao 002; Bin Zhou; Nanning Zheng 001; Dongmei Zhang 001 (NeurIPS, 2020)

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering. - Shuang Chen 003; Qian Liu 033; Zhiwei Yu 001; Chin-Yew Lin; Jian-Guang Lou; Feng Jiang 001 (ACL (demo), 2021)

Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL. - Jiaqi Guo; Ziliang Si; Yu Wang 093; Qian Liu 033; Ming Fan 002; Jian-Guang Lou; Zijiang Yang 006; Ting Liu 002 (ACL/IJCNLP (1), 2021)

Learning Algebraic Recombination for Compositional Generalization. - Chenyao Liu; Shengnan An; Zeqi Lin; Qian Liu 033; Bei Chen 008; Jian-Guang Lou; Lijie Wen 001; Nanning Zheng 001; Dongmei Zhang 001 (ACL/IJCNLP (Findings), 2021)

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. - Qian Liu 033; Dejian Yang; Jiahui Zhang; Jiaqi Guo; Bin Zhou; Jian-Guang Lou (ACL/IJCNLP (Findings), 2021)

Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. - Yuntao Li; Bei Chen 008; Qian Liu 033; Yan Gao 002; Jian-Guang Lou; Yan Zhang 117; Dongmei Zhang 001 (IJCAI, 2021)

CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue. - Libo Qin 001; Qiguang Chen; Tianbao Xie; Qian Liu 033; Shijue Huang; Wanxiang Che; Zhou Yu (COLING, 2022)

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. - Qi Shi 002; Qian Liu 033; Bei Chen 008; Yu Zhang 030; Ting Liu 001; Jian-Guang Lou (EMNLP (Findings), 2022)

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. - Junjie Huang 008; Wanjun Zhong; Qian Liu 033; Ming Gong 001; Daxin Jiang; Nan Duan 001 (EMNLP (Findings), 2022)

Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing. - Zhenwen Li; Jiaqi Guo; Qian Liu 033; Jian-Guang Lou; Tao Xie 001 (EMNLP, 2022)

Reasoning Like Program Executors. - Xinyu Pi; Qian Liu 033; Bei Chen 008; Morteza Ziyadi; Zeqi Lin; Qiang Fu 015; Yan Gao 002; Jian-Guang Lou; Weizhu Chen (EMNLP, 2022)

TAPEX: Table Pre-training via Learning a Neural SQL Executor. - Qian Liu 033; Bei Chen 008; Jiaqi Guo; Morteza Ziyadi; Zeqi Lin; Weizhu Chen; Jian-Guang Lou (ICLR, 2022)

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. - Wanjun Zhong; Junjie Huang 008; Qian Liu 033; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan 001 (IJCAI, 2022)

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. - Wanjun Zhong; Junjie Huang 008; Qian Liu 033; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan 001 (CoRR, 2022)

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. - Qi Shi 002; Qian Liu 033; Bei Chen 008; Yu Zhang 030; Ting Liu 002; Jian-Guang Lou (CoRR, 2022)

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. - Shengnan An; Yifei Li 005; Zeqi Lin; Qian Liu 033; Bei Chen 008; Qiang Fu 015; Weizhu Chen; Nanning Zheng 001; Jian-Guang Lou (CoRR, 2022)

Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. - Fan Zhou; Haoyu Dong 001; Qian Liu 033; Zhoujun Cheng; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

On Grounded Planning for Embodied Tasks with Language Models. - Bill Yuchen Lin; Chengsong Huang; Qian Liu 033; Wenda Gu; Sam Sommerer; Xiang Ren 001 (AAAI, 2023)

Reasoning Implicit Sentiment with Chain-of-Thought Prompting. - Hao Fei 001; Bobo Li 001; Qian Liu 033; Lidong Bing; Fei Li 021; Tat-Seng Chua (ACL (2), 2023)

Active Retrieval Augmented Generation. - Zhengbao Jiang; Frank F. Xu; Luyu Gao; Zhiqing Sun; Qian Liu 033; Jane Dwivedi-Yu; Yiming Yang 002; Jamie Callan; Graham Neubig (EMNLP, 2023)

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. - Xinyuan Lu; Liangming Pan; Qian Liu 033; Preslav Nakov; Min-Yen Kan (EMNLP, 2023)

Generative Table Pre-training Empowers Models for Tabular Prediction. - Tianping Zhang; Shaowen Wang 002; Shuicheng Yan; Li Jian; Qian Liu 033 (EMNLP, 2023)

Learning on Large-scale Text-attributed Graphs via Variational Inference. - Jianan Zhao 002; Meng Qu; Chaozhuo Li; Hao Yan 004; Qian Liu 033; Rui Li 086; Xing Xie 001; Jian Tang 005 (ICLR, 2023)

Bag of Tricks for Training Data Extraction from Language Models. - Weichen Yu; Tianyu Pang; Qian Liu 033; Chao Du; Bingyi Kang; Yan Huang; Min Lin; Shuicheng Yan (ICML, 2023)

OpenFE: Automated Feature Generation with Expert-level Performance. - Tianping Zhang; Zheyu Aqa Zhang; Zhiyuan Fan; Haoyan Luo; Fengyuan Liu; Qian Liu 033; Wei Cao; Li Jian (ICML, 2023)

SantaCoder: don't reach for the stars! - Loubna Ben Allal; Raymond Li; Denis Kocetkov; Chenghao Mou; Christopher Akiki; Carlos Muñoz Ferrandis; Niklas Muennighoff; Mayank Mishra; Alex Gu; Manan Dey; Logesh Kumar Umapathi; Carolyn Jane Anderson; et al. (CoRR, 2023)

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning. - Qian Liu 033; Fan Zhou; Zhengbao Jiang; Longxu Dou; Min Lin (CoRR, 2023)

Generative Table Pre-training Empowers Models for Tabular Prediction. - Tianping Zhang; Shaowen Wang 002; Shuicheng Yan; Jian Li; Qian Liu 033 (CoRR, 2023)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. - Chengsong Huang; Qian Liu 033; Bill Yuchen Lin; Tianyu Pang; Chao Du; Min Lin (CoRR, 2023)

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. - Keyu Duan; Qian Liu 033; Tat-Seng Chua; Shuicheng Yan; Wei Tsang Ooi; Qizhe Xie; Junxian He (CoRR, 2023)

OpenAgents: An Open Platform for Language Agents in the Wild. - Tianbao Xie; Fan Zhou; Zhoujun Cheng; Peng Shi 010; Luoxuan Weng; Yitao Liu; Toh Jing Hua; Junning Zhao; Qian Liu 033; Che Liu; Leo Z. Liu; Yiheng Xu; et al. (CoRR, 2023)

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. - Fangyu Lei; Qian Liu 033; Yiming Huang; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 033; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. - Zhaorui Yang 001; Tianyu Pang; Haozhe Feng; Han Wang; Wei Chen 001; Minfeng Zhu 001; Qian Liu 033 (ACL (1), 2024)

Beyond Memorization: The Challenge of Random Memory Access in Language Models. - Tongyao Zhu; Qian Liu 033; Liang Pang 001; Zhengbao Jiang; Min-Yen Kan; Min Lin (ACL (1), 2024)

Sailor: Open Language Models for South-East Asia. - Longxu Dou; Qian Liu 033; Guangtao Zeng; Jia Guo; Jiahui Zhou; Xin Mao; Ziqi Jin; Wei Lu 011; Min Lin (EMNLP (System Demonstrations), 2024)

EvoR: Evolving Retrieval for Code Generation. - Hongjin Su; Shuyang Jiang; Yuhang Lai; Haoyuan Wu; Boao Shi; Che Liu; Qian Liu 033; Tao Yu 009 (EMNLP (Findings), 2024)

DataTales: A Benchmark for Real-World Intelligent Data Narration. - Yajing Yang; Qian Liu 033; Min-Yen Kan (EMNLP, 2024)

OctoPack: Instruction Tuning Code Large Language Models. - Niklas Muennighoff; Qian Liu 033; Armel Randy Zebaze; Qinkai Zheng; Binyuan Hui; Terry Yue Zhuo; Swayam Singh; Xiangru Tang; Leandro von Werra; Shayne Longpre (ICLR, 2024)

Lemur: Harmonizing Natural Language and Code for Language Agents. - Yiheng Xu; Hongjin Su; Chen Xing; Boyu Mi; Qian Liu 033; Weijia Shi; Binyuan Hui; Fan Zhou; Yitao Liu; Tianbao Xie; Zhoujun Cheng; Siheng Zhao; et al. (ICLR, 2024)

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. - Xiangming Gu; Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 033; Ye Wang 007; Jing Jiang 001; Min Lin (ICML, 2024)

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. - Fangyu Lei; Qian Liu 033; Yiming Huang; Shizhu He; Jun Zhao 001; Kang Liu 001 (NAACL-HLT, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (NeurIPS, 2024)

Mercury: A Code Efficiency Benchmark for Code Large Language Models. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Qian Liu 033; See-Kiong Ng (NeurIPS, 2024)

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. - Chaofan Tao; Qian Liu 033; Longxu Dou; Niklas Muennighoff; Zhongwei Wan; Ping Luo 002; Min Lin; Ngai Wong 001 (NeurIPS, 2024)

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs. - Xuan Zhang; Chao Du; Tianyu Pang; Qian Liu 033; Wei Gao; Min Lin (NeurIPS, 2024)

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. - Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 033; Jing Jiang 001; Min Lin (NeurIPS, 2024)

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. - Terry Yue Zhuo; Armel Zebaze; Nitchakarn Suppattarachai; Leandro von Werra; Harm de Vries; Qian Liu 033; Niklas Muennighoff (CoRR, 2024)

Test-Time Backdoor Attacks on Multimodal Large Language Models. - Dong Lu; Tianyu Pang; Chao Du; Qian Liu 033; Xianjun Yang; Min Lin (CoRR, 2024)

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. - Tianlin Li; Xiaoyu Zhang 013; Chao Du; Tianyu Pang; Qian Liu 033; Qing Guo 005; Chao Shen 001; Yang Liu 003 (CoRR, 2024)

ARKS: Active Retrieval in Knowledge Soup for Code Generation. - Hongjin Su; Shuyang Jiang; Yuhang Lai; Haoyuan Wu; Boao Shi; Che Liu; Qian Liu 033; Tao Yu 009 (CoRR, 2024)

Purifying Large Language Models by Ensembling a Small Language Model. - Tianlin Li; Qian Liu 033; Tianyu Pang; Chao Du; Qing Guo 005; Yang Liu 003; Min Lin (CoRR, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

Sailor: Open Language Models for South-East Asia. - Longxu Dou; Qian Liu 033; Guangtao Zeng; Jia Guo; Jiahui Zhou; Wei Lu 011; Min Lin (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu 011; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Jiaran Hao; Liuyihan Song; Yang Xu; J. Yang; J. H. Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

Mantis: Interleaved Multi-Image Instruction Tuning. - Dongfu Jiang; Xuan He; Huaye Zeng; Cong Wei 001; Max Ku; Qian Liu 033; Wenhu Chen (Trans. Mach. Learn. Res., 2024)

CodeArena: A Collective Evaluation Platform for LLM Code Generation. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Xiaobao Wu; Yuhao Qing; Dong Huang 005; Terry Yue Zhuo; Qian Liu 033; See-Kiong Ng (ACL (3), 2025)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. - Siming Huang; Tianhao Cheng; Jason Klein Liu; Weidi Xu; Jiaran Hao; Liuyihan Song; Yang Xu; Jian Yang 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 2025)

Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs. - Xuan Zhang; Cunxiao Du; Sicheng Yu; Jiawei Wu; Fengzhuo Zhang; Wei Gao; Qian Liu 033 (ACL (2), 2025)

NLP+Code: Code Intelligence in Language Models. - Terry Yue Zhuo; Qian Liu 033; Zijian Wang 002; Wasi Uddin Ahmad; Binyuan Hui; Loubna Ben Allal (EMNLP (Tutorial Abstracts), 2025)

Bootstrapping Language Models with DPO Implicit Rewards. - Changyu Chen; Zichen Liu; Chao Du; Tianyu Pang; Qian Liu 033; Arunesh Sinha; Pradeep Varakantham; Min Lin (ICLR, 2025)

When Attention Sink Emerges in Language Models: An Empirical View. - Xiangming Gu; Tianyu Pang; Chao Du; Qian Liu 033; Fengzhuo Zhang; Cunxiao Du; Ye Wang 007; Min Lin (ICLR, 2025)

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. - Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin Su; Zhaoqing Suo; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; et al. (ICLR, 2025)

RegMix: Data Mixture as Regression for Language Model Pre-training. - Qian Liu 033; Xiaosen Zheng; Niklas Muennighoff; Guangtao Zeng; Longxu Dou; Tianyu Pang; Jing Jiang 001; Min Lin (ICLR, 2025)

Scaling up Masked Diffusion Models on Text. - Shen Nie; Fengqi Zhu; Chao Du; Tianyu Pang; Qian Liu 033; Guangtao Zeng; Min Lin; Chongxuan Li (ICLR, 2025)

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. - Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu 033; Jing Jiang 001; Min Lin (ICLR, 2025)

Unnatural Languages Are Not Bugs but Features for LLMs. - Keyu Duan; Yiran Zhao 006; Zhili Feng; Jinjie Ni; Tianyu Pang; Qian Liu 033; Tianle Cai; Longxu Dou; Kenji Kawaguchi; Anirudh Goyal; J. Zico Kolter; Michael Qizhe Shieh (ICML, 2025)

Improving Your Model Ranking on Chatbot Arena by Vote Rigging. - Rui Min; Tianyu Pang; Chao Du; Qian Liu 033; Minhao Cheng; Min Lin (ICML, 2025)

Predictive Data Selection: The Data That Predicts Is the Data That Teaches. - KaShun Shum; Yuzhen Huang 002; Hongjian Zou; Qi Ding; Yixuan Liao; Xiaoxin Chen 001; Qian Liu 033; Junxian He (ICML, 2025)

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale. - Fan Zhou; Zengzhi Wang; Qian Liu 033; Junlong Li; Pengfei Liu 003 (ICML, 2025)

ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention. - Yuhong Chou; Zehao Liu; Rui-Jie Zhu 003; Xinyi Wan; Tianjian Li; Congying Chu; Qian Liu 033; Jibin Wu; Zejun Ma 001 (NeurIPS, 2025)

SkyLadder: Better and Faster Pretraining via Context Window Scheduling. - Tongyao Zhu; Qian Liu 033; Haonan Wang; Shiqi Chen 002; Xiangming Gu; Tianyu Pang; Min-Yen Kan (NeurIPS, 2025)

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training. - Haonan Wang; Qian Liu 033; Chao Du; Tongyao Zhu; Cunxiao Du; Kenji Kawaguchi; Tianyu Pang (Trans. Mach. Learn. Res., 2025)

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. - Longxu Dou; Qian Liu 033; Fan Zhou; Changyu Chen; Zili Wang; Ziqi Jin; Zichen Liu; Tongyao Zhu; Cunxiao Du; Penghui Yang 001; Haonan Wang; Jiaheng Liu; et al. (CoRR, 2025)

Tutorial Proposal: Speculative Decoding for Efficient LLM Inference. - Heming Xia; Cunxiao Du; Yongqi Li 001; Qian Liu 033; Wenjie Li 002 (CoRR, 2025)

CodeArena: A Collective Evaluation Platform for LLM Code Generation. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Xiaobao Wu; Dong Huang 005; Terry Yue Zhuo; Qian Liu 033; See-Kiong Ng (CoRR, 2025)

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. - Weihao Zeng; Yuzhen Huang 002; Qian Liu 033; Wei Liu 131; Keqing He 001; Zejun Ma 001; Junxian He (CoRR, 2025)

General-Reasoner: Advancing LLM Reasoning Across All Domains. - Xueguang Ma; Qian Liu 033; Dongfu Jiang; Ge Zhang 009; Zejun Ma 001; Wenhu Chen (CoRR, 2025)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. - Mingzhe Du; Luu Tuan Tuan; Yue Liu 008; Yuhao Qing; Dong Huang 005; Xinyi He; Qian Liu 033; Zejun Ma 001; See-Kiong Ng (CoRR, 2025)

First Return, Entropy-Eliciting Explore. - Tianyu Zheng; Tianshun Xing; Qingshui Gu; Taoran Liang; Xingwei Qu; Xin Zhou 012; Yizhi Li; Zhoufutu Wen; Chenghua Lin 002; Wenhao Huang 001; Qian Liu 033; Ge Zhang 009; et al. (CoRR, 2025)

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? - Xinyi He; Qian Liu 033; Mingzhe Du; Lin Yan; Zhijie Fan; Yiming Huang; Zejian Yuan; Zejun Ma 001 (CoRR, 2025)

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling. - Yizhi Li; Qingshui Gu; Zhoufutu Wen; Ziniu Li; Tianshun Xing; Shuyue Guo; Tianyu Zheng; Xin Zhou 012; Xingwei Qu; Wangchunshu Zhou; Zheng Zhang 001; Wei Shen; et al. (CoRR, 2025)

History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL. - Jingkai He; Tianjian Li; Erhu Feng; Dong Du 003; Qian Liu 033; Tao Liu; Yubin Xia; Haibo Chen 001 (CoRR, 2025)

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning. - Zhenghai Xue; Longtao Zheng; Qian Liu 033; Yingru Li; Xiaosen Zheng; Zejun Ma 001; Bo An 001 (CoRR, 2025)

Training Optimal Large Diffusion Language Models. - Jinjie Ni; Qian Liu 033; Chao Du; Longxu Dou; Hang Yan 012; Zili Wang; Tianyu Pang; Michael Qizhe Shieh (CoRR, 2025)

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. - Terry Yue Zhuo; Xiaolong Jin; Hange Liu; Juyong Jiang; Tianyang Liu 003; Chen Gong 005; Bhupesh Bishnoi; Vaisakhi Mishra; Marek Suppa; Noah Ziems; Saiteja Utpala; Ming Xu; et al. (CoRR, 2025)

MPFToD: a modularized pre-training framework for consistency identification in task-oriented dialogue. - Libo Qin 001; Shijue Huang; Qiguang Chen; Qian Liu 033; Wanxiang Che; Ruifeng Xu 001 (Frontiers Comput. Sci., 2025)

Diffusion Language Models are Super Data Learners. - Jinjie Ni; Qian Liu 033; Longxu Dou; Chao Du; Zili Wang; Hang Yan 012; Tianyu Pang; Michael Qizhe Shieh (CoRR, 2025)

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle. - Fangyu Lei; Jinxiang Meng; Yiming Huang; Junjie Zhao; Yitong Zhang; Jianwen Luo; Xin Zou; Ruiyi Yang; Wenbo Shi; Yan Gao 017; Shizhu He; Zuo Wang; et al. (CoRR, 2025)

NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents. - Jingzhe Ding; Shengda Long; Changxin Pu; Huan Zhou; Hongwan Gao; Xiang Gao 017; Chao He; Yue Hou; Fei Hu; Zhaojian Li; Weiran Shi; Zaiyuan Wang; et al. (CoRR, 2025)

Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning. - Yingru Li; Jiawei Xu; Jiacai Liu; Yuxuan Tong; Ziniu Li; Tianle Cai; Ge Zhang 009; Qian Liu 033; Baoxiang Wang 001 (CoRR, 2025)

How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective. - Tongyao Zhu; Qian Liu 033; Chang Ma; Jinghan Zhang 006; Longxu Dou; Junxian He; Shiqi Chen 002 (ACL (1), 2026)

History Doesn't Repeat Itself but Rollouts Rhyme: Accelerating Reinforcement Learning with RhymeRL. - Jingkai He; Tianjian Li; Erhu Feng; Dong Du 003; Qian Liu 033; Tao Liu; Yubin Xia; Haibo Chen 001 (ASPLOS (2), 2026)

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations. - Wei Liu 131; Jiawei Xu; Yingru Li; Longtao Zheng; Tianjian Li; Qian Liu 033; Junxian He (CoRR, 2026)

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL. - Yingru Li; Jiawei Xu; Ziniu Li; Jiacai Liu; Wei Liu 131; Yuxuan Tong; Longtao Zheng; Zhenghai Xue; Yaxiang Zhang; Tianle Cai; Ge Zhang 009; Qian Liu 033; et al. (CoRR, 2026)