Austin Xu - RankMe

39 papers A* 5A 2Misc 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts. CoRR Xuan-Phi Nguyen, Shrey Pandit, Austin Xu, Caiming Xiong, Shafiq Joty
2026	J	`jnl`	MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks. CoRR Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, Caiming Xiong, Shafiq Joty
2026	J	`jnl`	MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems. CoRR Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty
2026	J	`jnl`	SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation. Trans. Mach. Learn. Res. Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S. Ryoo, Shafiq Joty, Juan Carlos Niebles
2026	J	`jnl`	VIBEPASS: Can Vibe Coders Really Pass the Vibe Check? CoRR Srijan Bansal, Jiao Fangkai, Yilun Zhou, Austin Xu, Shafiq Joty, Semih Yavuz
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. CoRR 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
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	Direct Judgement Preference Optimization. EMNLP Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2025	—	`conf`	Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. ACL (1) Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty
2025	J	`jnl`	Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. CoRR Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty
2025	A*	`conf`	Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators. ICML Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators. CoRR Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains. CoRR Austin Xu, Xuan-Phi Nguyen, Yilun Zhou, Chien-Sheng Wu, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math. CoRR Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, Yifei Ming, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization. CoRR Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild. CoRR Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. CoRR Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	On the Shelf Life of Fine-Tuned LLM Judges: Future Proofing, Backward Compatibility, and Question Generalization. CoRR Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tur, Shafiq Joty
2025	J	`jnl`	SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents. CoRR Xuan-Phi Nguyen, Shrey Pandit, Revanth Gangi Reddy, Austin Xu, Silvio Savarese, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation. CoRR Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S. Ryoo, Shafiq Joty, Juan Carlos Niebles
2025	J	`jnl`	Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms. CoRR Shrey Pandit, Xuan-Phi Nguyen, Yifei Ming, Austin Xu, Jiayu Wang, Caiming Xiong, Shafiq Joty
2025	—	`conf`	Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization. EMNLP (Findings) Chuyuan Li, Austin Xu, Shafiq Joty, Giuseppe Carenini
2025	J	`jnl`	Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization. CoRR Chuyuan Li, Austin Xu, Shafiq Joty, Giuseppe Carenini
2025	J	`jnl`	Variation in Verification: Understanding Verification Dynamics in Large Language Models. CoRR Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty
2024	J	`jnl`	Direct Judgement Preference Optimization. CoRR Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	Large Language Model Augmented Exercise Retrieval for Personalized Language Learning. CoRR Austin Xu, Will Monroe, Klinton Bicknell
2024	A	`conf`	Large language model augmented exercise retrieval for personalized language learning. LAK Austin Xu, Will Monroe, Klinton Bicknell
2024	—	`conf`	Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception. Allerton Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady
2024	—	`—`	Learning with and without human feedback. Austin Xu
2024	J	`jnl`	SFR-RAG: Towards Contextually Faithful LLMs. CoRR Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty
2023	A	`conf`	Active metric learning and classification using similarity queries. UAI Namrata Nadagouda, Austin Xu, Mark A. Davenport
2023	A*	`conf`	HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CVPR Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
2023	A*	`conf`	Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2023	J	`jnl`	Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2022	J	`jnl`	Active metric learning and classification using similarity queries. CoRR Namrata Nadagouda, Austin Xu, Mark A. Davenport
2022	Misc	`conf`	Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
2022	J	`jnl`	HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CoRR Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
2020	A*	`conf`	Simultaneous Preference and Metric Learning from Paired Comparisons. NeurIPS Austin Xu, Mark A. Davenport
2020	J	`jnl`	Simultaneous Preference and Metric Learning from Paired Comparisons. CoRR Austin Xu, Mark A. Davenport