Long Short-Term Memory Neural Networks for Chinese Word Segmentation. - Xinchi Chen; Xipeng Qiu; Chenxi Zhu; Pengfei Liu 003; Xuanjing Huang 001 (EMNLP, 2015)

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. - Pengfei Liu 003; Xipeng Qiu; Xinchi Chen; Shiyu Wu; Xuanjing Huang 001 (EMNLP, 2015)

Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (IJCAI, 2015)

Discourse Relations Detection via a Mixed Generative-Discriminative Framework. - Jifan Chen; Qi Zhang 001; Pengfei Liu 003; Xuanjing Huang 001 (AAAI, 2016)

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. - Jifan Chen; Qi Zhang 001; Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2016)

Deep Fusion LSTMs for Text Semantic Matching. - Pengfei Liu 003; Xipeng Qiu; Jifan Chen; Xuanjing Huang 001 (ACL (1), 2016)

Deep Multi-Task Learning with Shared Memory for Text Classification. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 2016)

Modelling Interaction of Sentence Pair with Coupled-LSTMs. - Pengfei Liu 003; Xipeng Qiu; Yaqian Zhou 001; Jifan Chen; Xuanjing Huang 001 (EMNLP, 2016)

Recurrent Neural Network for Text Classification with Multi-Task Learning. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (IJCAI, 2016)

Modelling Interaction of Sentence Pair with coupled-LSTMs. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2016)

Syntax-based Attention Model for Natural Language Inference. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2016)

Deep Multi-Task Learning with Shared Memory. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2016)

Adversarial Multi-task Learning for Text Classification. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2017)

Idiom-Aware Compositional Distributed Semantics. - Pengfei Liu 003; Kaiyu Qian; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 2017)

Dynamic Compositional Neural Networks over Tree Structure. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (IJCAI, 2017)

Adaptive Semantic Compositionality for Sentence Modelling. - Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (IJCAI, 2017)

Meta Multi-Task Learning for Sequence Modeling. - Jun-Kun Chen; Xipeng Qiu; Pengfei Liu 003; Xuanjing Huang 001 (AAAI, 2018)

Meta-Learning Multi-task Communication. - Pengfei Liu 003; Xuanjing Huang 001 (CoRR, 2018)

Multi-task Learning over Graph Structures. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (CoRR, 2018)

Contextualized Non-Local Neural Networks for Sequence Learning. - Pengfei Liu 003; Shuaichen Chang; Xuanjing Huang 001; Jian Tang; Jackie Chi Kit Cheung (AAAI, 2019)

Learning Multi-Task Communication with Message Passing for Sequence Learning. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (AAAI, 2019)

TIGS: An Inference Algorithm for Text Infilling with Gradient Search. - Dayiheng Liu; Jie Fu 001; Pengfei Liu 003; Jiancheng Lv 001 (ACL (1), 2019)

Searching for Effective Neural Extractive Summarization: What Works and What's Next. - Ming Zhong 005; Pengfei Liu 003; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 2019)

Star-Transformer. - Qipeng Guo; Xipeng Qiu; Pengfei Liu 003; Yunfan Shao; Xiangyang Xue 001; Zheng Zhang 001 (NAACL-HLT (1), 2019)

DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks. - Zehui Lin; Pengfei Liu 003; Luyao Huang; Jun-Kun Chen; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

Exploring Domain Shift in Extractive Text Summarization. - Danqing Wang; Pengfei Liu 003; Ming Zhong 005; Jie Fu 001; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

A Closer Look at Data Bias in Neural Extractive Summarization Models. - Ming Zhong 005; Danqing Wang; Pengfei Liu 003; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2019)

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001 (AAAI, 2020)

Multi-Scale Self-Attention for Text Classification. - Qipeng Guo; Xipeng Qiu; Pengfei Liu 003; Xiangyang Xue 001; Zheng Zhang 001 (AAAI, 2020)

Learning Sparse Sharing Architectures for Multiple Tasks. - Tianxiang Sun; Yunfan Shao; Xiaonan Li; Pengfei Liu 003; Hang Yan 001; Xipeng Qiu; Xuanjing Huang 001 (AAAI, 2020)

Heterogeneous Graph Neural Networks for Extractive Document Summarization. - Danqing Wang; Pengfei Liu 003; Yining Zheng; Xipeng Qiu; Xuanjing Huang 001 (ACL, 2020)

Extractive Summarization as Text Matching. - Ming Zhong 005; Pengfei Liu 003; Yiran Chen 013; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (ACL, 2020)

Re-evaluating Evaluation in Text Summarization. - Manik Bhandari; Pranav Narayan Gour; Atabak Ashfaq; Pengfei Liu 003; Graham Neubig (EMNLP (1), 2020)

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. - Yiran Chen 013; Pengfei Liu 003; Ming Zhong 005; Zi-Yi Dou; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (EMNLP (Findings), 2020)

Interpretable Multi-dataset Evaluation for Named Entity Recognition. - Jinlan Fu; Pengfei Liu 003; Graham Neubig (EMNLP (1), 2020)

RethinkCWS: Is Chinese Word Segmentation a Solved Task? - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. - Jinlan Fu; Pengfei Liu 003; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2020)

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. - Yiran Chen 013; Pengfei Liu 003; Ming Zhong 005; Zi-Yi Dou; Danqing Wang; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2020)

SpanNER: Named Entity Re-/Recognition as Span Prediction. - Jinlan Fu; Xuanjing Huang 001; Pengfei Liu 003 (ACL/IJCNLP (1), 2021)

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. - Yixin Liu 003; Pengfei Liu 003 (ACL/IJCNLP (2), 2021)

ExplainaBoard: An Explainable Leaderboard for NLP. - Pengfei Liu 003; Jinlan Fu; Yang Xiao; Weizhe Yuan; Shuaichen Chang; Junqi Dai; Yixin Liu 003; Zihuiwen Ye; Graham Neubig (ACL (demo), 2021)

CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. - Vijay Viswanathan 002; Graham Neubig; Pengfei Liu 003 (ACL/IJCNLP (1), 2021)

Towards More Fine-grained and Reliable NLP Performance Prediction. - Zihuiwen Ye; Pengfei Liu 003; Jinlan Fu; Graham Neubig (EACL, 2021)

Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization. - Yiran Chen 013; Pengfei Liu 003; Xipeng Qiu (EMNLP (Findings), 2021)

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. - Sebastian Ruder; Noah Constant; Jan A. Botha; Aditya Siddhant; Orhan Firat; Jinlan Fu; Pengfei Liu 003; Junjie Hu 001; Dan Garrette; Graham Neubig; Melvin Johnson (EMNLP (1), 2021)

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. - Junqi Dai; Hang Yan 001; Tianxiang Sun; Pengfei Liu 003; Xipeng Qiu (NAACL-HLT, 2021)

GSum: A General Framework for Guided Neural Abstractive Summarization. - Zi-Yi Dou; Pengfei Liu 003; Hiroaki Hayashi; Zhengbao Jiang; Graham Neubig (NAACL-HLT, 2021)

Larger-Context Tagging: When and Why Does It Work? - Jinlan Fu; Liangjing Feng; Qi Zhang 001; Xuanjing Huang 001; Pengfei Liu 003 (NAACL-HLT, 2021)

RefSum: Refactoring Neural Summarization. - Yixin Liu 003; Zi-Yi Dou; Pengfei Liu 003 (NAACL-HLT, 2021)

BARTScore: Evaluating Generated Text as Text Generation. - Weizhe Yuan; Graham Neubig; Pengfei Liu 003 (NeurIPS, 2021)

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. - Sebastian Ruder; Noah Constant; Jan A. Botha; Aditya Siddhant; Orhan Firat; Jinlan Fu; Pengfei Liu 003; Junjie Hu 001; Graham Neubig; Melvin Johnson (CoRR, 2021)

KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. - Weizhe Yuan; Pengfei Liu 003 (AAAI, 2022)

BRIO: Bringing Order to Abstractive Summarization. - Yixin Liu 003; Pengfei Liu 003; Dragomir R. Radev; Graham Neubig (ACL (1), 2022)

DataLab: A Platform for Data Analysis and Intervention. - Yang Xiao; Jinlan Fu; Weizhe Yuan; Vijay Viswanathan 002; Zhoumianze Liu; Yixin Liu 003; Graham Neubig; Pengfei Liu 003 (ACL (demo), 2022)

Polyglot Prompt: Multilingual Multitask Prompt Training. - Jinlan Fu; See-Kiong Ng; Pengfei Liu 003 (EMNLP, 2022)

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. - Haris Widjaja; Kiril Gashteovski; Wiem Ben Rim; Pengfei Liu 003; Christopher Malon; Daniel Ruffinelli; Carolin Lawrence; Graham Neubig (EMNLP (Demos), 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 005; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2022)

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. - Yang Xiao; Jinlan Fu; See-Kiong Ng; Pengfei Liu 003 (NAACL-HLT, 2022)

Polyglot Prompt: Multilingual Multitask PrompTraining. - Jinlan Fu; See-Kiong Ng; Pengfei Liu 003 (CoRR, 2022)

reStructured Pre-training. - Weizhe Yuan; Pengfei Liu 003 (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization. - Yiwei Qin; Graham Neubig; Pengfei Liu 003 (CoRR, 2022)

Can We Automate Scientific Reviewing? - Weizhe Yuan; Pengfei Liu 003; Graham Neubig (J. Artif. Intell. Res., 2022)

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. - Vijay Viswanathan 002; Luyu Gao; Tongshuang Wu; Pengfei Liu 003; Graham Neubig (ACL (1), 2023)

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. - Sameer Jain; Vaishakh Keshava; Swarnashree Mysore Sathyendra; Patrick Fernandes; Pengfei Liu 003; Graham Neubig; Chunting Zhou (ACL (Findings), 2023)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (ACL (1), 2023)

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Yilun Zhao 001; Pengfei Liu 003; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (EMNLP, 2023)

T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. - Yiwei Qin; Weizhe Yuan; Graham Neubig; Pengfei Liu 003 (EMNLP (Findings), 2023)

GlobalBench: A Benchmark for Global Progress in Natural Language Processing. - Yueqi Song; Simran Khanuja; Pengfei Liu 003; Fahim Faisal; Alissa Ostapenko; Genta Indra Winata; Alham Fikri Aji; Samuel Cahyawijaya; Yulia Tsvetkov; Antonios Anastasopoulos; Graham Neubig (EMNLP, 2023)

PAL: Program-aided Language Models. - Luyu Gao; Aman Madaan; Shuyan Zhou; Uri Alon 002; Pengfei Liu 003; Yiming Yang; Jamie Callan; Graham Neubig (ICML, 2023)

FELM: Benchmarking Factuality Evaluation of Large Language Models. - Shiqi Chen; Yiran Zhao 006; Jinghan Zhang 006; I-Chun Chern; Siyang Gao; Pengfei Liu 003; Junxian He (NeurIPS, 2023)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (CoRR, 2023)

GlobalBench: A Benchmark for Global Progress in Natural Language Processing. - Yueqi Song; Catherine Cui; Simran Khanuja; Pengfei Liu 003; Fahim Faisal; Alissa Ostapenko; Genta Indra Winata; Alham Fikri Aji; Samuel Cahyawijaya; Yulia Tsvetkov; Antonios Anastasopoulos; Graham Neubig (CoRR, 2023)

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. - I-Chun Chern; Zhiruo Wang; Sanjan Das; Bhavuk Sharma; Pengfei Liu 003; Graham Neubig (CoRR, 2023)

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. - I-Chun Chern; Steffi Chern; Shiqi Chen; Weizhe Yuan; Kehua Feng; Chunting Zhou; Junxian He; Graham Neubig; Pengfei Liu 003 (CoRR, 2023)

Align on the Fly: Adapting Chatbot Behavior to Established Norms. - Chunpu Xu; Steffi Chern; Ethan Chern; Ge Zhang 009; Zekun Wang; Ruibo Liu; Jing Li; Jie Fu 001; Pengfei Liu 003 (CoRR, 2023)

How Far Are We from Believable AI Agents? A Framework for Evaluating the Believability of Human Behavior Simulation. - Yang Xiao; Yi Cheng; Jinlan Fu; Jiashuo Wang; Wenjie Li 002; Pengfei Liu 003 (CoRR, 2023)

Generative AI for Math: Part I - MathPile: A Billion-Token-Scale Pretraining Corpus for Math. - Zengzhi Wang; Rui Xia; Pengfei Liu 003 (CoRR, 2023)

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. - Pengfei Liu 003; Weizhe Yuan; Jinlan Fu; Zhengbao Jiang; Hiroaki Hayashi; Graham Neubig (ACM Comput. Surv., 2023)

Dissecting Human and LLM Preferences. - Junlong Li; Fan Zhou; Shichao Sun; Yikai Zhang 003; Hai Zhao 001; Pengfei Liu 003 (ACL (1), 2024)

MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation. - Yan Ma; Yu Qiao 001; Pengfei Liu 003 (ACL (1), 2024)

InFoBench: Evaluating Instruction Following Ability in Large Language Models. - Yiwei Qin; Kaiqiang Song; Yebowen Hu; Wenlin Yao; Sangwoo Cho; Xiaoyang Wang; Xuansheng Wu; Fei Liu 004; Pengfei Liu 003; Dong Yu 001 (ACL (Findings), 2024)

The Critique of Critique. - Shichao Sun; Junlong Li; Weizhe Yuan; Ruifeng Yuan; Wenjie Li 002; Pengfei Liu 003 (ACL (Findings), 2024)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization. - Shichao Sun; Ruifeng Yuan; Ziqiang Cao; Wenjie Li 002; Pengfei Liu 003 (ACL (Findings), 2024)

LLMCrit: Teaching Large Language Models to Use Criteria. - Weizhe Yuan; Pengfei Liu 003; Matthias Gallé (ACL (Findings), 2024)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

Weak-to-Strong Reasoning. - Yuqing Yang 004; Yan Ma; Pengfei Liu 003 (EMNLP (Findings), 2024)

Reformatted Alignment. - Run-Ze Fan; Xuefeng Li 003; Haoyang Zou; Junlong Li; Shwai He; Ethan Chern; Jiewen Hu; Pengfei Liu 003 (EMNLP (Findings), 2024)

ECON: On the Detection and Resolution of Evidence Conflicts. - Cheng Jiayang; Chunkit Chan; Qianqian Zhuang; Lin Qiu; Tianhang Zhang; Tengxiao Liu; Yangqiu Song; Yue Zhang 004; Pengfei Liu 003; Zheng Zhang 001 (EMNLP, 2024)

FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs. - Yiyuan Li; Shichao Sun; Pengfei Liu 003 (EMNLP, 2024)

Generative Judge for Evaluating Alignment. - Junlong Li; Shichao Sun; Weizhe Yuan; Run-Ze Fan; Hai Zhao 001; Pengfei Liu 003 (ICLR, 2024)

GPTScore: Evaluate as You Desire. - Jinlan Fu; See-Kiong Ng; Zhengbao Jiang; Pengfei Liu 003 (NAACL-HLT, 2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. - Yixin Liu 003; Alexander R. Fabbri; Jiawen Chen; Yilun Zhao 001; Simeng Han; Shafiq Joty; Pengfei Liu 003; Dragomir Radev; Chien-Sheng Wu; Arman Cohan (NAACL-HLT (Findings), 2024)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Kejian Shi; Katherine He; Longtian Ye; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (NAACL-HLT, 2024)

Alignment for Honesty. - Yuqing Yang 004; Ethan Chern; Xipeng Qiu; Graham Neubig; Pengfei Liu 003 (NeurIPS, 2024)

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. - Zhen Huang; Zengzhi Wang; Shijie Xia; Xuefeng Li 003; Haoyang Zou; Ruijie Xu; Run-Ze Fan; Lyumanshan Ye; Ethan Chern; Yixin Ye; Yikai Zhang 003; Yuqing Yang 004; et al. (NeurIPS, 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

MathPile: A Billion-Token-Scale Pretraining Corpus for Math. - Zengzhi Wang; Xuefeng Li 003; Rui Xia; Pengfei Liu 003 (NeurIPS, 2024)

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. - Mianxin Liu; Weiguo Hu; Jinru Ding; Jie Xu; Xiaoyang Li; Lifeng Zhu; Zhian Bai; Xiaoming Shi; Benyou Wang; Haitao Song 001; Pengfei Liu 003; Xiaofan Zhang 002; et al. (Big Data Min. Anal., 2024)

Extending LLMs' Context Window with 100 Samples. - Yikai Zhang 003; Junlong Li; Pengfei Liu 003 (CoRR, 2024)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate. - Steffi Chern; Ethan Chern; Graham Neubig; Pengfei Liu 003 (CoRR, 2024)

Benchmarking Benchmark Leakage in Large Language Models. - Ruijie Xu; Zengzhi Wang; Run-Ze Fan; Pengfei Liu 003 (CoRR, 2024)

BeHonest: Benchmarking Honesty of Large Language Models. - Steffi Chern; Zhulin Hu; Yuqing Yang 004; Ethan Chern; Yuan Guo; Jiahe Jin; Binjie Wang; Pengfei Liu 003 (CoRR, 2024)

OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far? - Zhen Huang; Zengzhi Wang; Shijie Xia; Pengfei Liu 003 (CoRR, 2024)

FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models. - Yiyuan Li; Shichao Sun; Pengfei Liu 003 (CoRR, 2024)

ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation. - Ethan Chern; Jiadi Su; Yan Ma; Pengfei Liu 003 (CoRR, 2024)

Halu-J: Critique-Based Hallucination Judge. - Binjie Wang; Steffi Chern; Ethan Chern; Pengfei Liu 003 (CoRR, 2024)

OpenResearcher: Unleashing AI for Accelerated Scientific Research. - Yuxiang Zheng; Shichao Sun; Lin Qiu; Dongyu Ru; Cheng Jiayang; Xuefeng Li 003; Jifan Lin; Binjie Wang; Yun Luo; Renjie Pan 001; Yang Xu 010; Qingkai Min; et al. (CoRR, 2024)

Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale. - Fan Zhou; Zengzhi Wang; Qian Liu; Junlong Li; Pengfei Liu 003 (CoRR, 2024)

O1 Replication Journey: A Strategic Progress Report - Part 1. - Yiwei Qin; Xuefeng Li 003; Haoyang Zou; Yixiu Liu; Shijie Xia; Zhen Huang; Yixin Ye; Weizhe Yuan; Hector Liu; Yuanzhi Li; Pengfei Liu 003 (CoRR, 2024)

O1 Replication Journey - Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? - Zhen Huang; Haoyang Zou; Xuefeng Li 003; Yixiu Liu; Yuxiang Zheng; Ethan Chern; Shijie Xia; Yiwei Qin; Weizhe Yuan; Pengfei Liu 003 (CoRR, 2024)

PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World. - Yanheng He; Jiahe Jin; Shijie Xia; Jiadi Su; Run-Ze Fan; Haoyang Zou; Xiangkun Hu; Pengfei Liu 003 (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Evaluating Mathematical Reasoning Beyond Accuracy. - Shijie Xia; Xuefeng Li 003; Yixin Liu 003; Tongshuang Wu; Pengfei Liu 003 (AAAI, 2025)

Progress or Regress? Self-Improvement Reversal in Post-training. - Ting Wu; Xuefeng Li 003; Pengfei Liu 003 (ICLR, 2025)

Understanding Reference Policies in Direct Preference Optimization. - Yixin Liu 003; Pengfei Liu 003; Arman Cohan (NAACL (Findings), 2025)

DIVE: Diversified Iterative Self-Improvement. - Yiwei Qin; Yixiu Liu; Pengfei Liu 003 (CoRR, 2025)

O1 Replication Journey - Part 3: Inference-time Scaling for Medical Reasoning. - Zhongzhen Huang; Gui Geng; Shengyi Hua; Zhen Huang; Haoyang Zou; Shaoting Zhang 001; Pengfei Liu 003; Xiaofan Zhang 002 (CoRR, 2025)

LIMO: Less is More for Reasoning. - Yixin Ye; Zhen Huang; Yang Xiao; Ethan Chern; Shijie Xia; Pengfei Liu 003 (CoRR, 2025)

LIMR: Less is More for RL Scaling. - Xuefeng Li 003; Haoyang Zou; Pengfei Liu 003 (CoRR, 2025)

ToRL: Scaling Tool-Integrated RL. - Xuefeng Li 003; Haoyang Zou; Pengfei Liu 003 (CoRR, 2025)

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments. - Yuxiang Zheng; Dayuan Fu; Xiangkun Hu; Xiaojie Cai; Lyumanshan Ye; Pengrui Lu; Pengfei Liu 003 (CoRR, 2025)

Generative AI Act II: Test Time Scaling Drives Cognition Engineering. - Shijie Xia; Yiwei Qin; Xuefeng Li 003; Yan Ma; Run-Ze Fan; Steffi Chern; Haoyang Zou; Fan Zhou; Xiangkun Hu; Jiahe Jin; Yanheng He; Yixin Ye; et al. (CoRR, 2025)

Efficient Agent Training for Computer Use. - Yanheng He; Jiahe Jin; Pengfei Liu 003 (CoRR, 2025)

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models. - Yakun Zhu; Zhongzhen Huang; Linjie Mu; Yutong Huang; Wei Nie; Jiaji Liu; Shaoting Zhang 001; Pengfei Liu 003; Xiaofan Zhang 002 (CoRR, 2025)

Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. - Yang Xiao; Jiashuo Wang; Qiancheng Xu; Changhe Song; Chunpu Xu; Yi Cheng; Wenjie Li 002; Pengfei Liu 003 (CoRR, 2025)

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling. - Yang Xiao; Jiashuo Wang; Ruifeng Yuan; Chunpu Xu; Kaishuai Xu; Wenjie Li 002; Pengfei Liu 003 (CoRR, 2025)

Thinking with Generated Images. - Ethan Chern; Zhulin Hu; Steffi Chern; Siqi Kou; Jiadi Su; Yan Ma; Zhijie Deng; Pengfei Liu 003 (CoRR, 2025)

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling. - Zengzhi Wang; Fan Zhou; Xuefeng Li 003; Pengfei Liu 003 (CoRR, 2025)

Interaction as Intelligence: Deep Research With Human-AI Partnership. - Lyumanshan Ye; Xiaojie Cai; Xinkai Wang; Junfei Wang; Xiangkun Hu; Jiadi Su; Yang Nan; Sihan Wang; Bohan Zhang; Xiaoze Fan; Jinbin Luo; Yuxiang Zheng; et al. (CoRR, 2025)

ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry. - Tianze Xu; Pengrui Lu; Lyumanshan Ye; Xiangkun Hu; Pengfei Liu 003 (CoRR, 2025)

AlphaGo Moment for Model Architecture Discovery. - Yixiu Liu; Yang Nan; Weixian Xu; Xiangkun Hu; Lyumanshan Ye; Zhen Qin; Pengfei Liu 003 (CoRR, 2025)