Graph Neural Networks: A Review of Methods and Applications. - Jie Zhou 024; Ganqu Cui; Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2018)

Machine-Learning-Driven Matrix Ordering for Power Grid Analysis. - Ganqu Cui; Wenjian Yu; Xin Li; Zhiyu Zeng; Ben Gu (DATE, 2019)

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. - Cheng Yang 002; Jian Tang 005; Maosong Sun 001; Ganqu Cui; Zhiyuan Liu 001 (IJCAI, 2019)

Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods. - Wenjian Yu; Ming Yang 033; Yao Feng 002; Ganqu Cui; Ben Gu (ASP-DAC, 2020)

Adaptive Graph Encoder for Attributed Graph Embedding. - Ganqu Cui; Jie Zhou 024; Cheng Yang 002; Zhiyuan Liu 001 (KDD, 2020)

Graph neural networks: A review of methods and applications. - Jie Zhou 024; Ganqu Cui; Shengding Hu; Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Lifeng Wang; Changcheng Li; Maosong Sun 001 (AI Open, 2020)

Evaluating Modules in Graph Contrastive Learning. - Ganqu Cui; Yufeng Du; Cheng Yang 002; Jie Zhou 024; Liang Xu; Lifeng Wang; Zhiyuan Liu 001 (CoRR, 2021)

Prototypical Verbalizer for Prompt-based Few-shot Tuning. - Ganqu Cui; Shengding Hu; Ning Ding 002; Longtao Huang; Zhiyuan Liu 001 (ACL (1), 2022)

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Fanchao Qi; Longtao Huang; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2022)

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. - Lei Xu 040; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu 001 (NAACL-HLT (Findings), 2022)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. - Ganqu Cui; Lifan Yuan; Bingxiang He; Yangyi Chen; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2022)

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. - Biru Zhu; Yujia Qin; Ganqu Cui; Yangyi Chen; Weilin Zhao; Chong Fu; Yangdong Deng; Zhiyuan Liu 001; Jingang Wang; Wei Wu 014; Maosong Sun 001; Ming Gu 001 (NeurIPS, 2022)

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Lifan Yuan; Dehan Kong; Hanlu Wu; Ning Shi; Bo Yuan; Longtao Huang; Hui Xue 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

A Close Look into the Calibration of Pre-trained Language Models. - Yangyi Chen; Lifan Yuan; Ganqu Cui; Zhiyuan Liu 001; Heng Ji 001 (ACL (1), 2023)

Decoder Tuning: Efficient Language Understanding as Decoding. - Ganqu Cui; Wentao Li; Ning Ding 002; Longtao Huang; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2023)

Few-shot Classification with Hypersphere Modeling of Prototypes. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xiaobin Wang; Haitao Zheng 002; Zhiyuan Liu 001; Pengjun Xie (ACL (Findings), 2023)

Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. - Biru Zhu; Lifan Yuan; Ganqu Cui; Yangyi Chen; Chong Fu; Bingxiang He; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (EMNLP, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2023)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. - Lifan Yuan; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Fangyuan Zou; Xingyi Cheng; Heng Ji 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

UltraFeedback: Boosting Language Models with High-quality Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Wei Zhu 016; Yuan Ni; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. - Hanbin Wang; Zhenghao Liu 001; Shuo Wang 013; Ganqu Cui; Ning Ding 002; Zhiyuan Liu 001; Ge Yu 001 (CoRR, 2023)

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. - Tianyu Yu 002; Yuan Yao 013; Haoye Zhang; Taiwen He; Yifeng Han; Ganqu Cui; Jinyi Hu; Zhiyuan Liu 001; Hai-Tao Zheng 002; Maosong Sun 001; Tat-Seng Chua (CoRR, 2023)

Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. - Biru Zhu; Ganqu Cui; Yangyi Chen; Yujia Qin; Lifan Yuan; Chong Fu; Yangdong Deng; Zhiyuan Liu 001; Maosong Sun 001; Ming Gu 001 (Trans. Assoc. Comput. Linguistics, 2023)

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. - Cheng Yang 002; Hao Wang 139; Jian Tang 005; Chuan Shi 001; Maosong Sun 001; Ganqu Cui; Zhiyuan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. - Hanbin Wang; Zhenghao Liu 001; Shuo Wang 013; Ganqu Cui; Ning Ding 002; Zhiyuan Liu 001; Ge Yu 001 (ACL (Findings), 2024)

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback. - Tianyu Yu 002; Yuan Yao 013; Haoye Zhang; Taiwen He; Yifeng Han; Ganqu Cui; Jinyi Hu; Zhiyuan Liu 001; Hai-Tao Zheng 002; Maosong Sun 001 (CVPR, 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Zexu Sun; Bowen Sun; Huimin Chen; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. - Xingtai Lv; Ning Ding 002; Kaiyan Zhang; Ermo Hua; Ganqu Cui; Bowen Zhou 002 (EMNLP, 2024)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Bingxiang He; Wei Zhu 016; Yuan Ni; Guotong Xie; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICML, 2024)

Noise Contrastive Alignment of Language Models with Explicit Rewards. - Huayu Chen; Guande He; Lifan Yuan; Ganqu Cui; Hang Su; Jun Zhu (NeurIPS, 2024)

UltraMedical: Building Specialized Generalists in Biomedicine. - Kaiyan Zhang; Sihang Zeng; Ermo Hua; Ning Ding 002; Zhang-Ren Chen; Zhiyuan Ma 005; Haoxin Li; Ganqu Cui; Biqing Qi; Xuekai Zhu; Xingtai Lv; Jinfang Hu; et al. (NeurIPS, 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Jiexin Wang; Huimin Chen; Bowen Sun; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. - Shengding Hu; Yuge Tu; Xu Han 007; Chaoqun He; Ganqu Cui; Xiang Long; Zhi Zheng; Yewei Fang; Yuxiang Huang; Weilin Zhao; Xinrong Zhang; Zhen Leng Thai; et al. (CoRR, 2024)

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. - Tianyu Yu 002; Haoye Zhang; Yuan Yao 013; Yunkai Dang; Da Chen; Xiaoman Lu; Ganqu Cui; Taiwen He; Zhiyuan Liu 001; Tat-Seng Chua; Maosong Sun 001 (CoRR, 2024)

Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Huan-ang Gao; Huimin Chen; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Free Process Rewards without Process Labels. - Lifan Yuan; Wendi Li; Huayu Chen; Ganqu Cui; Ning Ding 002; Kai Zhang 033; Bowen Zhou 002; Zhiyuan Liu 001; Hao Peng 001 (CoRR, 2024)

Fusing Highly Specialized Language Models for Comprehensive Expertise. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Kaiyan Zhang; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2025)

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Haiwen Hong; Huan-ang Gao; Longtao Huang; Hui Xue 001; Huimin Chen; Zhiyuan Liu 001; et al. (ACL (Findings), 2025)

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness. - Tianyu Yu 002; Haoye Zhang; Qiming Li; Qixin Xu; Yuan Yao 013; Da Chen; Xiaoman Lu; Ganqu Cui; Yunkai Dang; Taiwen He; Xiaocheng Feng; Jun Song; et al. (CVPR, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. - Yafu Li; Zhilin Wang; Tingchen Fu; Ganqu Cui; Sen Yang 005; Yu Cheng 001 (CoRR, 2025)

Process Reinforcement through Implicit Rewards. - Ganqu Cui; Lifan Yuan; Zefan Wang; Hanbin Wang; Wendi Li; Bingxiang He; Yuchen Fan; Tianyu Yu 002; Qixin Xu; Weize Chen; Jiarui Yuan; Huayu Chen; et al. (CoRR, 2025)

UltraIF: Advancing Instruction Following from the Wild. - Kaikai An; Li Sheng; Ganqu Cui; Shuzheng Si; Ning Ding; Yu Cheng; Baobao Chang (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset. - Bingxiang He; Wenbin Zhang; Jiaxi Song; Cheng Qian 008; Zixuan Fu; Bowen Sun; Ning Ding 002; Haiwen Hong; Longtao Huang; Hui Xue 001; Ganqu Cui; Wanxiang Che; et al. (CoRR, 2025)

Learning to Reason under Off-Policy Guidance. - Jianhao Yan; Yafu Li; Zican Hu; Zhi Wang; Ganqu Cui; Xiaoye Qu; Yu Cheng 001; Yue Zhang 004 (CoRR, 2025)

TTRL: Test-Time Reinforcement Learning. - Yuxin Zuo; Kaiyan Zhang; Shang Qu; Li Sheng; Xuekai Zhu; Biqing Qi; Youbang Sun; Ganqu Cui; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. - Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu 001; Jun Zhu 001; Haoxiang Wang (CoRR, 2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. - Ganqu Cui; Yuchen Zhang; Jiacheng Chen; Lifan Yuan; Zhi Wang; Yuxin Zuo; Haozhan Li; Yuchen Fan; Huayu Chen; Weize Chen; Zhiyuan Liu 001; Hao Peng 001; et al. (CoRR, 2025)

Scaling Physical Reasoning with the PHYSICS Dataset. - Shenghe Zheng; Qianjia Cheng; Junchi Yao; Mengsong Wu; Haonan He; Ning Ding 002; Yu Cheng; Shuyue Hu; Lei Bai 001; Dongzhan Zhou; Ganqu Cui; Peng Ye 006 (CoRR, 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)

RLPR: Extrapolating RLVR to General Domains without Verifiers. - Tianyu Yu 002; Bo Ji; Shouli Wang; Shu Yao; Zefan Wang; Ganqu Cui; Lifan Yuan; Ning Ding 002; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Tat-Seng Chua (CoRR, 2025)

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling. - Peiji Li; Jiasheng Ye; Yongkang Chen; Yichuan Ma; Zijie Yu; Kedi Chen; Ganqu Cui; Haozhan Li; Jiacheng Chen; Chengqi Lyu; Wenwei Zhang; Linyang Li; et al. (CoRR, 2025)

Wisdom of the Crowd: Reinforcement Learning from Coevolutionary Collective Feedback. - Wenzhen Yuan 002; Shengji Tang; Weihao Lin 002; Jiacheng Ruan; Ganqu Cui; Bo Zhang 069; Tao Chen 003; Ting Liu 016; Yuzhuo Fu; Peng Ye 006; Lei Bai 001 (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)