Xu, Austin

14 publications

ICLR 2026 Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains Austin Xu, Xuan-Phi Nguyen, Yilun Zhou, Chien-Sheng Wu, Caiming Xiong, Shafiq Joty

ICLR 2026 LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty

ICLR 2026 On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tür, Shafiq Joty

TMLR 2026 SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S Ryoo, Shafiq Joty, Juan Carlos Niebles

ICLR 2026 Variation in Verification: Understanding Verification Dynamics in Large Language Models Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty

TMLR 2025 A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty

ICML 2025 Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty

ICMLW 2024 Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady

UAI 2023 Active Metric Learning and Classification Using Similarity Queries Namrata Nadagouda, Austin Xu, Mark A. Davenport

CVPR 2023 HandsOff: Labeled Dataset Generation with No Additional Human Annotations Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri

NeurIPS 2023 Perceptual Adjustment Queries and an Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew McRae, Jingyan Wang, Mark Davenport, Ashwin Pananjady

ICMLW 2023 Perceptual Adjustment Queries: An Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

NeurIPSW 2022 HandsOff: Labeled Dataset Generation with No Additional Human Annotations Austin Xu, Mariya I. Vasileva, Arjun Seshadri

NeurIPS 2020 Simultaneous Preference and Metric Learning from Paired Comparisons Austin Xu, Mark Davenport