Austin Xu

According to our database, Austin Xu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision.

Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

CoRR, May, 2025

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization.

Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

CoRR, May, 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

CoRR, April, 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

Trans. Mach. Learn. Res., 2025

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings.

Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning with and without human feedback.

Austin Xu

PhD thesis, 2024

Direct Judgement Preference Optimization.

Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty

CoRR, 2024

SFR-RAG: Towards Contextually Faithful LLMs.

Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty

CoRR, 2024

Large language model augmented exercise retrieval for personalized language learning.

Austin Xu, Will Monroe, Klinton Bicknell

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception.

Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

Active metric learning and classification using similarity queries.

Namrata Nadagouda, Austin Xu, Mark A. Davenport

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.

Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HandsOff: Labeled Dataset Generation With No Additional Human Annotations.

Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons.

Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Simultaneous Preference and Metric Learning from Paired Comparisons.

Austin Xu, Mark A. Davenport

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020