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Afra Feyza Akyurek

Afra Feyza Akyurek has 2 papers in our library, in 2023–2026, most of them on Reasoning; often with Anisha Gunjal, Ashwin Kalyan, Chen Bo Calvin Zhang.

2 papers in our library · 2023–2026

OpenAlex · h-index 9 · 24 works · 241 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 68 times in our library · ⭐ Paper Stars ranking: #6884

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

🎓Boston UniversityBoston · United States2020–2025 · 14 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs (2023 · 89 citations)
    Large language models still make errors, and natural language critiques can help them fix their outputs. Human critiques are costly and too slow for online use. Earlier learned critique generators also assumed the downstream model could be fine-tuned, which is not possible for closed models like GPT-3 or ChatGPT.…
  2. 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…

 Co-authors here

8 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 68 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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