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Anisha Gunjal

Anisha Gunjal has 2 papers in our library, in 2026, most of them on Reasoning; often with Afra Feyza Akyürek, Bing Liu, Chen Bo Calvin Zhang.

2 papers in our library · 2026

OpenAlex · h-index 2 · 15 works · 159 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 163 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9908

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Hochschule AalenAalen · Germany2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2023–2024 · 2 papers

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 workInformation Systems · 1 workSoftware · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning (2026 · 7 citations)
    Most LLM benchmarks reward short, checkable answers in math, science and coding. They reveal little about open-ended, high-stakes professional work. Preference arenas, the usual option for open-ended evaluation, produce noisy scores without expert grounding. The Scale AI authors address this gap with PRBench, a set…
  2. Agentic Rubrics as Contextual Verifiers for SWE Agents (2026 · 3 citations)
    Choosing the best patch from many SWE-agent attempts requires a good verifier. Running tests is reliable but costly, since each repository needs its own environment setup. Cheaper methods that skip execution, such as patch classifiers or similarity heuristics, tend to ignore codebase context and are hard to…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Detecting and Preventing Hallucinations in Large Vision Language Models ↗arXiv:2308.06394 · no summary yetAnisha Gunjal, Jihan Yin, Erhan Bas2023 · 235 citations
  2. Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains ↗arXiv:2507.17746 · no summary yetAnisha Gunjal et al.2025 · 73 citations
  3. PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, et al.2026 · 7 citations
  4. Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 163 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated

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