---
title: "Afra Feyza Akyurek — author profile and papers · Reasoning"
description: "Afra Feyza Akyurek: 2 papers on Elamur Research (2023–2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/afra-feyza-akyurek/"
---
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# Afra Feyza Akyurek

Afra Feyza Akyurek has 2 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Anisha Gunjal](https://md.research.elamur.ai/free/en/authors/anisha-gunjal/), [Ashwin Kalyan](https://md.research.elamur.ai/free/en/authors/ashwin-kalyan/), [Chen Bo Calvin Zhang](https://md.research.elamur.ai/free/en/authors/chen-bo-calvin-zhang/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5037814990) · [**h-index 9**](https://openalex.org/authors/A5037814990) · [24 works](https://openalex.org/works?filter=author.id:A5037814990) · [241 citations](https://openalex.org/works?filter=author.id:A5037814990&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/afra-feyza-akyurek/#papers) · [🔗 Cited 68 times in our library](https://md.research.elamur.ai/free/en/authors/afra-feyza-akyurek/cited-by/) · [⭐ Paper Stars ranking: #6884](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6884)

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=Afra+Feyza+Akyurek) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Afra+Feyza+Akyurek) · [dblp](https://dblp.org/search?q=Afra+Feyza+Akyurek) · [ACL Anthology](https://aclanthology.org/search/?q=Afra+Feyza+Akyurek)

## Affiliations

[🎓**Boston University** Boston · United States 2020–2025 · 14 papers](https://md.research.elamur.ai/free/en/universities/boston-university/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/afra-feyza-akyurek/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/afra-feyza-akyurek/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs](https://md.research.elamur.ai/free/en/papers/akyurek-2023-rl4f-generating-natural-language-feedback/)** *(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](https://md.research.elamur.ai/free/en/papers/akyurek-2026-prbench-large-scale-expert-rubrics/)** *(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.

- [Anisha Gunjal](https://md.research.elamur.ai/free/en/authors/anisha-gunjal/)
- [Ashwin Kalyan](https://md.research.elamur.ai/free/en/authors/ashwin-kalyan/)
- [Chen Bo Calvin Zhang](https://md.research.elamur.ai/free/en/authors/chen-bo-calvin-zhang/)
- [Derry Tanti Wijaya](https://md.research.elamur.ai/free/en/authors/derry-tanti-wijaya/)
- [Ekin Akyurek](https://md.research.elamur.ai/free/en/authors/ekin-akyurek/)
- [Niket Tandon](https://md.research.elamur.ai/free/en/authors/niket-tandon/)
- [Peter Clark](https://md.research.elamur.ai/free/en/authors/peter-clark/)
- [Vipul Gupta](https://md.research.elamur.ai/free/en/authors/vipul-gupta/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)

## 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 →](https://md.research.elamur.ai/free/en/authors/afra-feyza-akyurek/cited-by/).

Updated 31 October 2026
