Isometric 3D Adversarial Examples in the Physical World. - Yibo Miao; Yinpeng Dong; Jun Zhu 001; Xiao-Shan Gao (NeurIPS, 2022)

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. - Yibo Miao; Hongcheng Gao; Hao Zhang; Zhijie Deng (ACL (Findings), 2024)

Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method. - Tian Xia; Zhiwei He 002; Tong Ren; Yibo Miao; Zhuosheng Zhang 001; Yang Yang 030; Rui Wang 015 (ACL (Findings), 2024)

Bayesian Exploration of Pre-Trained Models for Low-Shot Image Classification. - Yibo Miao; Yu Lei; Feng Zhou; Zhijie Deng (CVPR, 2024)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. - Zihao Zeng; Yibo Miao; Hongcheng Gao; Hao Zhang 025; Zhijie Deng (EMNLP (Findings), 2024)

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. - Shuyu Cheng; Yibo Miao; Yinpeng Dong; Xiao Yang; Xiao-Shan Gao; Jun Zhu 001 (ICML, 2024)

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack. - Lijia Yu; Shuang Liu; Yibo Miao; Xiao-Shan Gao; Lijun Zhang (ICML, 2024)

Toward Availability Attacks in 3D Point Clouds. - Yifan Zhu; Yibo Miao; Yinpeng Dong; Xiao-Shan Gao (ICML, 2024)

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective. - Yibo Miao; Yinpeng Dong; Jinlai Zhang; Lijia Yu; Xiao Yang; Xiao-Shan Gao (NeurIPS, 2024)

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. - Yibo Miao; Yifan Zhu; Lijia Yu; Jun Zhu 001; Xiao-Shan Gao; Yinpeng Dong (NeurIPS, 2024)

Generalizablity of Memorization Neural Network. - Lijia Yu; Xiao-Shan Gao; Lijun Zhang; Yibo Miao (NeurIPS, 2024)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. - Zihao Zeng; Yibo Miao; Hongcheng Gao; Hao Zhang; Zhijie Deng (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Aligning CodeLLMs with Direct Preference Optimization. - Yibo Miao; Bofei Gao; Shanghaoran Quan; Junyang Lin; Daoguang Zan; Jiaheng Liu; Jian Yang 003; Tianyu Liu 001; Zhijie Deng (CoRR, 2024)

Generalizability of Memorization Neural Networks. - Lijia Yu; Xiao-Shan Gao; Lijun Zhang; Yibo Miao (CoRR, 2024)

Evaluating and Aligning CodeLLMs on Human Preference. - Jian Yang 003; Jiaxi Yang; Ke Jin; Yibo Miao; Lei Zhang 201; Liqun Yang; Zeyu Cui; Yichang Zhang; Binyuan Hui; Junyang Lin (CoRR, 2024)

ExecRepoBench: Multi-level Executable Code Completion Evaluation. - Jian Yang 003; Jiajun Zhang; Jiaxi Yang; Ke Jin; Lei Zhang 201; Qiyao Peng 006; Ken Deng; Yibo Miao; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2024)

PowerMLP: An Efficient Version of KAN. - Ruichen Qiu; Yibo Miao; Shiwen Wang; Yifan Zhu; Lijia Yu; Xiao-Shan Gao (AAAI, 2025)

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. - Bofei Gao; Yejie Wang; Yibo Miao; Ruoyu Wu; Feifan Song 001; Longhui Yu; Tianyu Liu 001; Baobao Chang (ACL (Findings), 2025)

Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning. - Jian Yang 003; Wei Zhang 021; Yibo Miao; Shanghaoran Quan; Zhenhe Wu; Qiyao Peng 006; Liqun Yang; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (ACL (1), 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization. - Shuang Liu; Yihan Wang; Yifan Zhu; Yibo Miao; Xiao-Shan Gao (ICLR, 2025)

3D-Properties: Identifying Challenges in DPO and Charting a Path Forward. - Yuzi Yan; Yibo Miao; Jialian Li; Yipin Zhang; Jian Xie; Zhijie Deng; Dong Yan (ICLR, 2025)

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power. - Lijia Yu; Yibo Miao; Yifan Zhu; Xiao-Shan Gao; Lijun Zhang (ICLR, 2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Shanghaoran Quan; Jiaxi Yang; Bowen Yu 002; Bo Zheng 007; Dayiheng Liu; An Yang; Xuancheng Ren; Bofei Gao; Yibo Miao; Yunlong Feng; Zekun Wang; Jian Yang 003; et al. (CoRR, 2025)

Multi-Agent Collaboration for Multilingual Code Instruction Tuning. - Jian Yang 003; Wei Zhang 021; Jiaxi Yang; Yibo Miao; Shanghaoran Quan; Zhenhe Wu; Qiyao Peng 006; Liqun Yang; Tianyu Liu 001; Zeyu Cui; Binyuan Hui; Junyang Lin (CoRR, 2025)

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability. - Lijia Yu; Yibo Miao; Yifan Zhu; Xiao-Shan Gao; Lijun Zhang (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling. - Yichuan Cao; Yibo Miao; Xiao-Shan Gao; Yinpeng Dong (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)