Xiong, Miao

19 publications

ICML 2025 Bring Reason to Vision: Understanding Perception and Reasoning Through Model Merging Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He

NeurIPS 2025 ConfTuner: Training Large Language Models to Express Their Confidence Verbally Yibo Li, Miao Xiong, Jiaying Wu, Bryan Hooi

ICLR 2025 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

ICML 2025 FlipAttack: Jailbreak LLMs via Flipping Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

ICLRW 2025 FlipAttack: Jailbreak LLMs via Flipping Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi

NeurIPS 2025 MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi

NeurIPS 2024 $\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi

ICLR 2024 Can LLMs Express Their Uncertainty? an Empirical Evaluation of Confidence Elicitation in LLMs Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi

NeurIPSW 2024 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

NeurIPSW 2024 Efficient and Effective Uncertainty Quantification for LLMs Miao Xiong, Andrea Santilli, Michael Kirchhof, Adam Golinski, Sinead Williamson

ICML 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He

ICLRW 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He

NeurIPSW 2024 On a Spurious Interaction Between Uncertainty Scores and Answer Evaluation Metrics in Generative QA Tasks Andrea Santilli, Miao Xiong, Michael Kirchhof, Pau Rodriguez, Federico Danieli, Xavier Suau, Luca Zappella, Sinead Williamson, Adam Golinski

ICML 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li, Miao Xiong, Bryan Hooi

ICML 2023 Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement Ailin Deng, Miao Xiong, Bryan Hooi

CVPR 2023 Probabilistic Knowledge Distillation of Face Ensembles Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi

NeurIPS 2023 Proximity-Informed Calibration for Deep Neural Networks Miao Xiong, Ailin Deng, Pang Wei W Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

TMLR 2022 Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

ECCV 2022 Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi