--- title: "Austin Xu — author profile and papers — Elamur Research" description: "Austin Xu, Salesforce: 4 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/austin-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/austin-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Austin Xu # Austin Xu Austin Xu has 4 papers in our library, in 2025–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/), [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/), [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5002266393) · [ORCID](https://orcid.org/0009-0003-1694-1841) · [Wikidata](https://www.wikidata.org/wiki/Q130800494) · [**h-index 3**](https://openalex.org/authors/A5002266393) · [31 works](https://openalex.org/works?filter=author.id:A5002266393) · [26 citations](https://openalex.org/works?filter=author.id:A5002266393&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/austin-xu/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/austin-xu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7697](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7697) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Austin+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Austin+Xu) · [dblp](https://dblp.org/search?q=Austin+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Austin+Xu) ## Affiliations [🏢**Salesforce** San Francisco · United States 2024–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2020–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/austin-xu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/austin-xu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Direct Judgement Preference Optimization](https://md.research.elamur.ai/free/en/papers/wang-2025-direct-judgement-preference-optimization/)** *(2025 · 35 citations)* LLM-as-judge models are usually trained with supervised finetuning on fairly small datasets and cover only narrow evaluation formats, often just pairwise comparison. 2. **[Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings](https://md.research.elamur.ai/free/en/papers/xu-2025-does-context-matter-contextualjudgebench-evaluating/)** *(2025 · 14 citations)* LLM judges are often marketed as general-purpose evaluators, but they are rarely tested on contextual tasks such as RAG and summarization, where a response must be grounded in supplied external material. 3. **[J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/xu-2026-j4r-learning-judge-equivalent-initial/)** *(2026 · 3 citations)* LLM-as-judge models handle simple tasks like chat quality well, but they struggle to evaluate reasoning-heavy outputs. 4. **[Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math](https://md.research.elamur.ai/free/en/papers/pandit-2026-hard2verify-step-level-verification-benchmark/)** *(2026 · 2 citations)* Frontier LLMs now write Olympiad-level proofs, such as the gold-medal results at IMO 2025. Training and evaluating such systems requires automatic verifiers that can judge each step of a proof, not just the final answer. Existing step-level benchmarks have weaknesses: they use easy questions, outputs from weak… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems ↗](https://arxiv.org/abs/2504.09037) arXiv:2504.09037 · no summary yet**Zixuan Ke et al.*2025 · 39 citations* 2. **[Direct Judgement Preference Optimization](https://md.research.elamur.ai/free/en/papers/wang-2025-direct-judgement-preference-optimization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**PeiFeng Wang, Austin Xu, Yilun Zhou, et al.*2025 · 35 citations* 3. **[Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings](https://md.research.elamur.ai/free/en/papers/xu-2025-does-context-matter-contextualjudgebench-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Austin Xu, Srijan Bansal, Yifei Ming, et al.*2025 · 14 citations* 4. **[J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/xu-2026-j4r-learning-judge-equivalent-initial/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.*2026 · 3 citations* 5. **[Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math](https://md.research.elamur.ai/free/en/papers/pandit-2026-hard2verify-step-level-verification-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.*2026 · 2 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/) ×4 - [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) ×3 - [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/) ×2 - [Yifei Ming](https://md.research.elamur.ai/free/en/authors/yifei-ming/) ×2 - [Yilun Zhou](https://md.research.elamur.ai/free/en/authors/yilun-zhou/) ×2 - [PeiFeng Wang](https://md.research.elamur.ai/free/en/authors/peifeng-wang/) - [Semih Yavuz](https://md.research.elamur.ai/free/en/authors/semih-yavuz/) - [Srijan Bansal](https://md.research.elamur.ai/free/en/authors/srijan-bansal/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/austin-xu/cited-by/). Updated 31 October 2026