BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. - Haoyu Song 002; Yan Wang 060; Kaiyan Zhang; Wei-Nan Zhang 003; Ting Liu 001 (ACL/IJCNLP (1), 2021)

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. - Kaiyan Zhang; Ning Ding 002; Biqing Qi; Xuekai Zhu; Xinwei Long; Bowen Zhou 002 (EMNLP, 2023)

Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications. - Dong Li; Kaiyan Zhang; Dongping Cao; Jing Shen; Run Kang; Qiankang Mao; Jiawei Chen (MobiSys, 2023)

PaD: Program-aided Distillation Specializes Large Models in Reasoning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xingwei Long; Bowen Zhou 002 (CoRR, 2023)

Large Language Models are Zero Shot Hypothesis Proposers. - Biqing Qi; Kaiyan Zhang; Haoxiang Li; Kai Tian; Sihang Zeng; Zhang-Ren Chen; Bowen Zhou 002 (CoRR, 2023)

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. - Haoyu Song 002; Wei-Nan Zhang 003; Kaiyan Zhang; Ting Liu 001 (ACM Trans. Inf. Syst., 2023)

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. - Weinan Zhang 003; Yiming Cui 001; Kaiyan Zhang; Yifa Wang; Qingfu Zhu; Lingzhi Li 003; Ting Liu 001 (ACM Trans. Inf. Syst., 2023)

Generative Multi-Modal Knowledge Retrieval with Large Language Models. - Xinwei Long; Jiali Zeng; Fandong Meng; Zhiyuan Ma 005; Kaiyan Zhang; Bowen Zhou 002; Jie Zhou 016 (AAAI, 2024)

SMR: State Memory Replay for Long Sequence Modeling. - Biqing Qi; Junqi Gao; Kaiyan Zhang; Dong Li 016; Jianxing Liu; Ligang Wu 001; Bowen Zhou 002 (ACL (Findings), 2024)

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. - Kaiyan Zhang; Jianyu Wang; Ermo Hua; Biqing Qi; Ning Ding 002; Bowen Zhou 002 (ACL (1), 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)

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xinwei Long; Zhouhan Lin; Bowen Zhou 002 (NAACL-HLT, 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)

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. - Ermo Hua; Biqing Qi; Kaiyan Zhang; Yue Yu 008; Ning Ding 002; Xingtai Lv; Kai Tian; Bowen Zhou 002 (CoRR, 2024)

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing. - Biqing Qi; Pengfei Li 011; Fangyuan Li; Junqi Gao; Kaiyan Zhang; Bowen Zhou 002 (CoRR, 2024)

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. - Kaiyan Zhang; Jianyu Wang; Ning Ding 002; Biqing Qi; Ermo Hua; Xingtai Lv; Bowen Zhou 002 (CoRR, 2024)

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion. - Kaiyan Zhang; Biqing Qi; Bowen Zhou 002 (CoRR, 2024)

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. - Biqing Qi; Kaiyan Zhang; Kai Tian; Haoxiang Li; Zhang-Ren Chen; Sihang Zeng; Ermo Hua; Jinfang Hu; Bowen Zhou 002 (CoRR, 2024)

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Jianjun Li; Bowen Zhou 002 (CoRR, 2024)

Automating Exploratory Proteomics Research via Language Models. - Ning Ding 002; Shang Qu; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2024)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization. - Biqing Qi; Zhouyi Qian; Yiang Luo; Junqi Gao; Dong Li 016; Kaiyan Zhang; Bowen Zhou 002 (CoRR, 2024)

How to Synthesize Text Data without Model Collapse? - Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding 002; Zhouhan Lin; Zilong Zheng; Bowen Zhou 002 (CoRR, 2024)

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. - Ermo Hua; Che Jiang; Xingtai Lv; Kaiyan Zhang; Ning Ding 002; Youbang Sun; Biqing Qi; Yuchen Fan; Xuekai Zhu; Bowen Zhou 002 (CoRR, 2024)

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. - Xinwei Long; Zhiyuan Ma 005; Ermo Hua; Kaiyan Zhang; Biqing Qi; Bowen Zhou 002 (AAAI, 2025)

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)

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. - Ermo Hua; Biqing Qi; Kaiyan Zhang; Kai Tian; Xingtai Lv; Ning Ding 002; Bowen Zhou 002 (ACL (1), 2025)

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. - Kaiyan Zhang; Jiayuan Zhang 001; Haoxin Li; Xuekai Zhu; Ermo Hua; Xingtai Lv; Ning Ding 002; Biqing Qi; Bowen Zhou 002 (ICLR, 2025)

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding. - Yuxin Zuo; Shang Qu; Yifei Li; Zhangren Chen; Xuekai Zhu; Ermo Hua; Kaiyan Zhang; Ning Ding 002; Bowen Zhou 002 (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)

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling. - Runze Liu 002; Junqi Gao; Jian Zhao; Kaiyan Zhang; Xiu Li 001; Biqing Qi; Wanli Ouyang; Bowen Zhou 002 (CoRR, 2025)

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models. - Xingtai Lv; Youbang Sun; Kaiyan Zhang; Shang Qu; Xuekai Zhu; Yuchen Fan; Yi Wu; Ermo Hua; Xinwei Long; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Video-T1: Test-Time Scaling for Video Generation. - Fangfu Liu; Hanyang Wang 003; Yimo Cai; Kaiyan Zhang; Xiaohang Zhan; Yueqi Duan (CoRR, 2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Jian Zhao; Runze Liu 002; Kaiyan Zhang; Zhimu Zhou; Junqi Gao; Dong Li 016; Jiafei Lyu; Zhouyi Qian; Biqing Qi; Xiu Li 001; Bowen Zhou 002 (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)

Semantic Correspondence: Unified Benchmarking and a Strong Baseline. - Kaiyan Zhang; Xinghui Li; Jingyi Lu; Kai Han (CoRR, 2025)

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation. - Jiadong Pan; Zhiyuan Ma 005; Kaiyan Zhang; Ning Ding 002; Bowen Zhou 002 (CoRR, 2025)

Automating Exploratory Multiomics Research via Language Models. - Shang Qu; Ning Ding 002; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2025)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; et al. (CoRR, 2025)

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices. - Zhiyuan Ma 005; Yuzhu Zhang; Guoli Jia; Liangliang Zhao; Yichao Ma; Mingjie Ma; Gaofeng Liu; Kaiyan Zhang; Ning Ding 002; Jianjun Li; Bowen Zhou 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)