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Author

Austin Xu

Observed name: Xu, Austin
ORCID: 0009-0003-1694-1841
Observed ORCID: 0009-0003-1694-1841
OpenAlex ID: A5002266393
HandsOff: Labeled Dataset Generation With No Additional Human Annotations
2023 · Austin Xu, Mariya I. Vasileva, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 8
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Large language model augmented exercise retrieval for personalized language learning
2024 · Austin Xu, Will Monroe, et al. · International Conference on Learning Analytics and Knowledge (LAK) · 7
Active metric learning and classification using similarity queries
2022 · Nadagouda, Namrata, Xu, Austin, et al. · arXiv (Cornell University) · 5
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A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
2025 · Ke, Zixuan, Jiao, Fangkai, et al. · arXiv (Cornell University) · 4
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Simultaneous Preference and Metric Learning from Paired Comparisons
2020 · Xu, Austin, Davenport, Mark A. · arXiv (Cornell University) · 4
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SFR-RAG: Towards Contextually Faithful LLMs
2024 · Nguyen, Xuan-Phi, Pandit, Shrey, et al. · arXiv (Cornell University) · 2
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Direct Judgement Preference Optimization
2025 · PeiFeng Wang, Austin Xu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Direct Judgement Preference Optimization
2024 · Wang, Peifeng, Xu, Austin, et al. · arXiv (Cornell University) · 1
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Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
2023 · Austin Xu, Andrew McRae, et al. · neural information processing systems · 1
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Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
2026 · Association for Computational Linguistics 2026, Joty, Shafiq, et al. · Underline Science Inc.
The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
2026 · Zhou, Yefan, Zhou, Yilun, et al. · arXiv (Cornell University)
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VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
2026 · Bansal, Srijan, Fangkai, Jiao, et al. · arXiv (Cornell University)
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MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
2026 · Venkataramani, Vishal, Shi, Haizhou, et al. · arXiv (Cornell University)
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Least-Loaded Expert Parallelism: Load Balancing An Imbalanced Mixture-of-Experts
2026 · Nguyen, Xuan-Phi, Pandit, Shrey, et al. · arXiv (Cornell University)
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MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
2026 · Ke, Zixuan, Ming, Yifei, et al. · arXiv (Cornell University)
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Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
2026 · Shrey Pandit, Austin Xu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
2026 · Austin Xu, Yilun Zhou, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Can Vibe Coders Really Pass the Vibe Check? An Empirical Analysis of Fault-Targeted Reasoning in Frontier LLMs
2026 · Srijan Bansal, Fangkai Jiao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
2025 · Kendre, Shrikant, Xu, Austin, et al. · arXiv (Cornell University)
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Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
2025 · Xu, Austin, Nguyen, Xuan-Phi, et al. · arXiv (Cornell University)
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On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization
2025 · Singh, Janvijay, Xu, Austin, et al. · arXiv (Cornell University)
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Variation in Verification: Understanding Verification Dynamics in Large Language Models
2025 · Zhou, Yefan, Xu, Austin, et al. · arXiv (Cornell University)
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MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
2025 · Ke, Zixuan, Xu, Austin, et al. · arXiv (Cornell University)
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Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception
2024 · Xuanzhou Chen, Austin Xu, et al. · Allerton Conference on Communication, Control, and Computing
An Iterative Adversarial Approach for Robust Inverse Problem Neural Networks
2024 · Riley Poole, Raaghav Agarwal, et al. · IEEE Opportunity Research Scholars Symposium (ORSS)
Works count: 31
Citation count: 33
H-index: 4
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