BERT-based Lexical Substitution. - Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Furu Wei; Ming Zhou 001 (ACL (1), 2019)

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. - Wangchunshu Zhou; Ke Xu 001 (AAAI, 2020)

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. - Bill Yuchen Lin; Ming Shen; Wangchunshu Zhou; Pei Zhou; Chandra Bhagavatula; Yejin Choi 001; Xiang Ren 001 (AKBC, 2020)

Connecting the Dots Between Fact Verification and Fake News Detection. - Qifei Li; Wangchunshu Zhou (COLING, 2020)

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Furu Wei; Ming Zhou 001 (EMNLP (1), 2020)

Pseudo-Bidirectional Decoding for Local Sequence Transduction. - Wangchunshu Zhou; Tao Ge 001; Ke Xu 001 (EMNLP (Findings), 2020)

Improving Grammatical Error Correction with Machine Translation Pairs. - Wangchunshu Zhou; Tao Ge 001; Chang Mu; Ke Xu 001; Furu Wei; Ming Zhou 001 (EMNLP (Findings), 2020)

Scheduled DropHead: A Regularization Method for Transformer Models. - Wangchunshu Zhou; Tao Ge 001; Furu Wei; Ming Zhou 001; Ke Xu 001 (EMNLP (Findings), 2020)

Self-Adversarial Learning with Comparative Discrimination for Text Generation. - Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Furu Wei; Ming Zhou 001 (ICLR, 2020)

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. - Wangchunshu Zhou; Jinyi Hu; Hanlin Zhang 002; Xiaodan Liang; Maosong Sun 001; Chenyan Xiong; Jian Tang 005 (NeurIPS, 2020)

BERT Loses Patience: Fast and Robust Inference with Early Exit. - Wangchunshu Zhou; Canwen Xu; Tao Ge 001; Julian J. McAuley; Ke Xu 001; Furu Wei (NeurIPS, 2020)

Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Wangchunshu Zhou; Dong-Ho Lee; Ravi Kiran Selvam; Seyeon Lee; Bill Yuchen Lin; Xiang Ren 001 (CoRR, 2020)

Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. - Wangchunshu Zhou; Qifei Li; Chenle Li (ACL/IJCNLP (1), 2021)

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (EMNLP (1), 2021)

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. - Wangchunshu Zhou; Tao Ge 001; Canwen Xu; Ke Xu 001; Furu Wei (EMNLP (1), 2021)

Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Wangchunshu Zhou; Dong-Ho Lee; Ravi Kiran Selvam; Seyeon Lee; Xiang Ren 001 (ICLR, 2021)

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (NAACL-HLT, 2021)

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. - Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Furu Wei (CoRR, 2021)

Meta Learning for Knowledge Distillation. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (CoRR, 2021)

A Survey on Green Deep Learning. - Jingjing Xu 001; Wangchunshu Zhou; Zhiyi Fu; Hao Zhou 012; Lei Li 005 (CoRR, 2021)

Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description. - Wangchunshu Zhou; Qifei Li; Chenle Li (CoRR, 2021)

Contextual Representation Learning beyond Masked Language Modeling. - Zhiyi Fu; Wangchunshu Zhou; Jingjing Xu 001; Hao Zhou 012; Lei Li 005 (ACL (1), 2022)

BERT Learns to Teach: Knowledge Distillation with Meta Learning. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (ACL (1), 2022)

Efficiently Tuned Parameters Are Task Embeddings. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (EMNLP, 2022)

VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training. - Wangchunshu Zhou; Yan Zeng 003; Shizhe Diao; Xinsong Zhang (ICML, 2022)

VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models. - Wangchunshu Zhou; Yan Zeng 003; Shizhe Diao; Xinsong Zhang (CoRR, 2022)

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training. - Yan Zeng 003; Wangchunshu Zhou; Ao Luo; Xinsong Zhang (CoRR, 2022)

Prefix Language Models are Unified Modal Learners. - Shizhe Diao; Wangchunshu Zhou; Xinsong Zhang; Jiawei Wang (CoRR, 2022)

X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks. - Yan Zeng 003; Xinsong Zhang; Hang Li 001; Jiawei Wang; Jipeng Zhang; Wangchunshu Zhou (CoRR, 2022)

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training. - Yan Zeng 003; Wangchunshu Zhou; Ao Luo; Ziming Cheng; Xinsong Zhang (ACL (1), 2023)

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning. - Tiannan Wang; Wangchunshu Zhou; Yan Zeng 003; Xinsong Zhang (ACL (Findings), 2023)

Commonsense Knowledge Transfer for Pre-trained Language Models. - Wangchunshu Zhou; Ronan Le Bras 001; Yejin Choi 001 (ACL (Findings), 2023)

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. - Wangchunshu Zhou; Ronan Le Bras 001; Yejin Choi 001 (ACL (Findings), 2023)

Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description. - Wangchunshu Zhou; Qifei Li; Chenle Li (ACL (Findings), 2023)

Automatic Educational Question Generation with Difficulty Level Controls. - Ying Jiao; Kumar Shridhar; Peng Cui 006; Wangchunshu Zhou; Mrinmaya Sachan (AIED, 2023)

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. - Vilém Zouhar; Shehzaad Dhuliawala; Wangchunshu Zhou; Nico Daheim; Tom Kocmi; Yuchen Eleanor Jiang; Mrinmaya Sachan (EACL, 2023)

Doolittle: Benchmarks and Corpora for Academic Writing Formalization. - Shizhe Diao; Yongyu Lei; Liangming Pan; Tianqing Fang; Wangchunshu Zhou; Sedrick Scott Keh; Min-Yen Kan; Tong Zhang 001 (EMNLP, 2023)

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. - Yifan Hou; Jiaoda Li; Yu Fei; Alessandro Stolfo; Wangchunshu Zhou; Guangtao Zeng; Antoine Bosselut; Mrinmaya Sachan (EMNLP, 2023)

Evaluating Large Language Models on Controlled Generation Tasks. - Jiao Sun; Yufei Tian; Wangchunshu Zhou; Nan Xu; Qian Hu; Rahul Gupta 001; John Frederick Wieting; Nanyun Peng 001; Xuezhe Ma (EMNLP, 2023)

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. - Ruida Wang; Wangchunshu Zhou; Mrinmaya Sachan (EMNLP (Findings), 2023)

Write and Paint: Generative Vision-Language Models are Unified Modal Learners. - Shizhe Diao; Wangchunshu Zhou; Xinsong Zhang; Jiawei Wang (ICLR, 2023)

Controlled Text Generation with Natural Language Instructions. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ethan Wilcox; Ryan Cotterell; Mrinmaya Sachan (ICML, 2023)

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis. - Fuzhao Xue; Yao Fu; Wangchunshu Zhou; Zangwei Zheng; Yang You 001 (NeurIPS, 2023)

Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies. - Kirill Semenov; Vilém Zouhar; Tom Kocmi; Dongdong Zhang 001; Wangchunshu Zhou; Yuchen Eleanor Jiang (WMT, 2023)

Efficient Prompting via Dynamic In-Context Learning. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

Interactive Natural Language Processing. - Zekun Wang; Ge Zhang 009; Kexin Yang 002; Ning Shi; Wangchunshu Zhou; Shaochun Hao; Guangzheng Xiong; Yizhi Li; Mong Yuan Sim; Xiuying Chen; Qingqing Zhu; Zhenzhu Yang; et al. (CoRR, 2023)

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Peng Cui 006; Tiannan Wang; Zhenxin Xiao; Yifan Hou; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Ming Liu 004; Bing Qin 001 (CoRR, 2023)

Agents: An Open-source Framework for Autonomous Language Agents. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Long Li; Jialong Wu 007; Tiannan Wang; Shi Qiu; Jintian Zhang; Jing Chen; Ruipu Wu; Shuai Wang; Shiding Zhu; Jiyu Chen; et al. (CoRR, 2023)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2023)

Mixup Your Own Pairs. - Yilei Wu; Zijian Dong 001; Chongyao Chen; Wangchunshu Zhou; Juan Helen Zhou (CoRR, 2023)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Zekun Moore Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Man Zhang 005; Zhaoxiang Zhang 001; Wanli Ouyang; et al. (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)

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. - Haoqin Tu; Chenhang Cui; Zijun Wang; Yiyang Zhou; Bingchen Zhao; Junlin Han; Wangchunshu Zhou; Huaxiu Yao; Cihang Xie (CoRR, 2023)

Scaling-up medical vision-and-language representation learning with federated learning. - Siyu Lu; Zheng Liu; Tianlin Liu; Wangchunshu Zhou (Eng. Appl. Artif. Intell., 2023)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. - Yizhi Li; Ge Zhang 009; Xingwei Qu; Jiali Li; Zhaoqun Li; Noah Wang; Hao Li 074; Ruibin Yuan; Yinghao Ma; Kai Zhang 033; Wangchunshu Zhou; Yiming Liang; et al. (ACL (Findings), 2024)

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. - Shuofei Qiao; Ningyu Zhang 001; Runnan Fang; Yujie Luo; Wangchunshu Zhou; Yuchen Eleanor Jiang; Chengfei Lv; Huajun Chen (ACL (1), 2024)

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. - Noah Wang; Zhongyuan Peng; Haoran Que; Jiaheng Liu; Wangchunshu Zhou; Yuhan Wu; Hongcheng Guo; Ruitong Gan; Zehao Ni; Jian Yang 030; Man Zhang 005; Zhaoxiang Zhang 001; et al. (ACL (Findings), 2024)

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. - Ziyu Zhao 001; Leilei Gan; Guoyin Wang 002; Wangchunshu Zhou; Hongxia Yang; Kun Kuang; Fei Wu 001 (ACL (Findings), 2024)

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Haichao Zhu; Jiafeng Liang; Liping Shan; Ming Liu 004; Dongliang Xu; Qing Yang 033; Bing Qin 001 (LREC/COLING, 2024)

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. - Haoqin Tu; Chenhang Cui; Zijun Wang; Yiyang Zhou; Bingchen Zhao; Junlin Han; Wangchunshu Zhou; Huaxiu Yao; Cihang Xie (ECCV (51), 2024)

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. - Noah Wang; Feiyu Duan; Yibo Zhang; Wangchunshu Zhou; Ke Xu 001; Wenhao Huang 001; Jie Fu 001 (EMNLP (Findings), 2024)

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. - Fuzhao Xue; Zian Zheng 001; Yao Fu; Jinjie Ni; Zangwei Zheng; Wangchunshu Zhou; Yang You 001 (ICML, 2024)

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? - Xiangru Tang; Yiming Zong; Jason Phang; Yilun Zhao 001; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (NAACL (Short Papers), 2024)

CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. - Wanru Zhao; Hongxiang Fan; Shell Xu Hu; Wangchunshu Zhou; Nicholas D. Lane (NeurIPS, 2024)

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning. - Shuofei Qiao; Ningyu Zhang 001; Runnan Fang; Yujie Luo; Wangchunshu Zhou; Yuchen Eleanor Jiang; Chengfei Lv; Huajun Chen (CoRR, 2024)

Weaver: Foundation Models for Creative Writing. - Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu 007; et al. (CoRR, 2024)

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. - Xiangru Tang; Qiao Jin 001; Kunlun Zhu; Tongxin Yuan; Yichi Zhang; Wangchunshu Zhou; Meng Qu; Yilun Zhao 001; Jian Tang; Zhuosheng Zhang 001; Arman Cohan; Zhiyong Lu; et al. (CoRR, 2024)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. - Yizhi Li; Ge Zhang 009; Xingwei Qu; Jiali Li; Zhaoqun Li; Zekun Wang; Hao Li 074; Ruibin Yuan; Yinghao Ma; Kai Zhang 033; Wangchunshu Zhou; Yiming Liang; et al. (CoRR, 2024)

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise. - Chunyuan Deng; Xiangru Tang; Yilun Zhao 001; Hanming Wang; Haoran Wang; Wangchunshu Zhou; Arman Cohan; Mark Gerstein (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

Symbolic Learning Enables Self-Evolving Agents. - Wangchunshu Zhou; Yixin Ou; Shengwei Ding; Long Li; Jialong Wu 007; Tiannan Wang; Jiamin Chen; Shuai Wang; Xiaohua Xu 003; Ningyu Zhang 001; Huajun Chen; Yuchen Eleanor Jiang (CoRR, 2024)

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models. - Haoran Que; Feiyu Duan; Liqun He; Yutao Mou; Wangchunshu Zhou; Jiaheng Liu; Wenge Rong; Zekun Moore Wang; Jian Yang 030; Ge Zhang 009; Junran Peng; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

MIO: A Foundation Model on Multimodal Tokens. - Zekun Wang; King Zhu; Chunpu Xu; Wangchunshu Zhou; Jiaheng Liu; Yibo Zhang; Jiashuo Wang; Ning Shi; Siyu Li; Yizhi Li; Haoran Que; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. - Zekun Wang; Feiyu Duan; Yibo Zhang; Wangchunshu Zhou; Ke Xu 001; Wenhao Huang 001; Jie Fu 001 (CoRR, 2024)

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model. - Siwei Wu; Zhongyuan Peng; Xinrun Du; Tuney Zheng; Minghao Liu 003; Jialong Wu 009; Jiachen Ma 005; Yizhi Li; Jian Yang 030; Wangchunshu Zhou; Qunshu Lin; Junbo Zhao 002; et al. (CoRR, 2024)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shawn Wang; Kang Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (CoRR, 2024)

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions. - Ziming Li; Qianbo Zang; David Ma; Jiawei Guo; Tuney Zheng; Minghao Liu 003; Xinyao Niu; Yue Wang; Jian Yang 003; Jiaheng Liu; Wanjun Zhong; Wangchunshu Zhou; et al. (CoRR, 2024)

AI PERSONA: Towards Life-long Personalization of LLMs. - Tiannan Wang; Meiling Tao; Ruoyu Fang; Huilin Wang; Shuai Wang; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2024)

X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks. - Yan Zeng 003; Xinsong Zhang; Hang Li 001; Jiawei Wang; Jipeng Zhang; Wangchunshu Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. - Zekun Moore Wang; Shenzhi Wang; King Zhu; Jiaheng Liu; Ke Xu 001; Jie Fu 001; Wangchunshu Zhou; Wenhao Huang 001 (ACL (1), 2025)

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (ICLR, 2025)

Training-free Periodic Interest Augmentation in Incremental Recommendation. - Heyuan Huang; Xingyu Lou; Changwang Zhang; Chaochao Chen 001; Kuiyao Dong; Feng Lu; Han Lei; Yihao Wang; Wangchunshu Zhou; Jun Wang 020 (SIGIR, 2025)

Towards LifeSpan Cognitive Systems. - Yu Wang 170; Chi Han; Tongtong Wu; Xiaoxin He; Wangchunshu Zhou; Nafis Sadeq; Xiusi Chen; Zexue He; Wei Wang; Gholamreza Haffari; Heng Ji 001; Julian J. McAuley (Trans. Mach. Learn. Res., 2025)

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning. - Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang 001; Yilun Zhao 001; Arman Cohan; Mark Gerstein (CoRR, 2025)

M+: Extending MemoryLLM with Scalable Long-Term Memory. - Yu Wang 170; Dmitry Krotov; Yuanzhe Hu; Yifan Gao 001; Wangchunshu Zhou; Julian J. McAuley; Dan Gutfreund; Rogério Feris; Zexue He (CoRR, 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (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)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. - M.-A-P. Team; Siwei Wu; Jincheng Ren; Xinrun Du; Shuyue Guo; Xingwei Qu; Yiming Liang; Jie Liu 047; Yunwen Li; Tianyu Zheng; Boyu Feng; Huaqing Yuan; et al. (CoRR, 2025)

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation. - Jiajun Shi; Jian Yang; Jiaheng Liu; Xingyuan Bu; Jiangjie Chen; Junting Zhou; Kaijing Ma; Zhoufutu Wen; Bingli Wang; Yancheng He; Liang Song; Hualei Zhu; et al. (CoRR, 2025)

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding. - David Ma; Huaqing Yuan; Xingjian Wang; Qianbo Zang; Tianci Liu 011; Xinyang He; Yanbin Wei; Jiawei Guo; Ni Jiahui; Zhenzhu Yang; Meng Cao 002; Shanghaoran Quan; et al. (CoRR, 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

TaskCraft: Automated Generation of Agentic Tasks. - Dingfeng Shi; Jingyi Cao; Qianben Chen; Weichen Sun; Weizhen Li; Hongxuan Lu; Fangchen Dong; Tianrui Qin; King Zhu; Minghao Liu 003; Jian Yang 003; Ge Zhang 009; et al. (CoRR, 2025)

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization. - Meiling Tao; Chenghao Zhu; Dongyi Ding; Tiannan Wang; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2025)

Scaling Test-time Compute for LLM Agents. - King Zhu; Hanhao Li; Siwei Wu; Tianshun Xing; Dehua Ma; Xiangru Tang; Minghao Liu 003; Jian Yang 003; Jiaheng Liu; Yuchen Eleanor Jiang; Changwang Zhang; Chenghua Lin; et al. (CoRR, 2025)

OAgents: An Empirical Study of Building Effective Agents. - He Zhu; Tianrui Qin; King Zhu; Heyuan Huang; Yeyi Guan; Jinxiang Xia; Yi Yao; Hanhao Li; Ningning Wang; Pai Liu; Tianhao Peng; Xin Gui; et al. (CoRR, 2025)

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants. - Dongyi Ding; Tiannan Wang; Chenghao Zhu; Meiling Tao; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2025)

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics. - Wanru Zhao; Hongxiang Fan; Shell Xu Hu; Wangchunshu Zhou; Bofan Chen; Nicholas D. Lane (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)

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving. - Xiangru Tang; Tianrui Qin; Tianhao Peng; Ziyang Zhou; Daniel Shao; Tingting Du; Xinming Wei; Peng Xia; Fang Wu; He Zhu; Ge Zhang 009; Jiaheng Liu; et al. (CoRR, 2025)

IFEvalCode: Controlled Code Generation. - Jian Yang 003; Wei Zhang 021; Shukai Liu; Linzheng Chai; Yingshui Tan; Jiaheng Liu; Ge Zhang 009; Wangchunshu Zhou; Guanglin Niu; Zhoujun Li 001; Binyuan Hui; Junyang Lin (CoRR, 2025)

Efficient Agents: Building Effective Agents While Reducing Cost. - Ningning Wang; Xavier Hu; Pai Liu; He Zhu; Yue Hou; Heyuan Huang; Shengyu Zhang; Jian Yang 003; Jiaheng Liu; Ge Zhang 009; Changwang Zhang; Jun Wang; et al. (CoRR, 2025)

VeriGUI: Verifiable Long-Chain GUI Dataset. - Shunyu Liu 001; Minghao Liu 003; Huichi Zhou; Zhenyu Cui; Yang Zhou; Yuhao Zhou; Wendong Fan; Ge Zhang 009; Jiajun Shi; Weihao Xuan; Jiaxing Huang 001; Shuang Luo; et al. (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL. - Weizhen Li; Jianbo Lin; Zhuosong Jiang; Jingyi Cao; Xinpeng Liu; Jiayu Zhang; Zhenqiang Huang; Qianben Chen; Weichen Sun; Qiexiang Wang; Hongxuan Lu; Tianrui Qin; et al. (CoRR, 2025)

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents. - Shilong Li; Xingyuan Bu; Wenjie Wang; Jiaheng Liu; Jun Dong; Haoyang He; Hao Lu; Haozhe Zhang; Chenchen Jing; Zhen Li; Chuanhao Li; Jiayi Tian; et al. (CoRR, 2025)