---
title: "Akhila Yerukola — author profile and papers — Elamur Research"
description: "Akhila Yerukola, Johns Hopkins University: 2 papers on Elamur Research (2019–2025), h-index 7 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/akhila-yerukola/"
---
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# Akhila Yerukola

Akhila Yerukola has 2 papers in our library, in 2019–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Abigail See](https://md.research.elamur.ai/free/en/authors/abigail-see/), [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Katharina Reinecke](https://md.research.elamur.ai/free/en/authors/katharina-reinecke/).

2 papers in our library · 2019–2025

[OpenAlex](https://openalex.org/A5034284314) · [**h-index 7**](https://openalex.org/authors/A5034284314) · [31 works](https://openalex.org/works?filter=author.id:A5034284314) · [393 citations](https://openalex.org/works?filter=author.id:A5034284314&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/akhila-yerukola/#papers) · [🔗 Cited 342 times in our library](https://md.research.elamur.ai/free/en/authors/akhila-yerukola/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5899](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5899)

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

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2022–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**Johns Hopkins University** Baltimore · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 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/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/akhila-yerukola/year/2025/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/akhila-yerukola/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Do Massively Pretrained Language Models Make Better Storytellers?](https://md.research.elamur.ai/free/en/papers/see-2019-massively-pretrained-language-models-make/)** *(2019 · 213 citations)* The paper asks whether large-scale open-domain pretraining actually improves neural text generation, using story writing as the test case.
2. **[NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models](https://md.research.elamur.ai/free/en/papers/rao-2025-normad-framework-measuring-cultural-adaptability/)** *(2025 · 46 citations)* Most cultural evaluations of LLMs ask models directly about norms, which shows what they know but not whether they can use that knowledge in a concrete user situation.

## 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. **[Do Massively Pretrained Language Models Make Better Storytellers?](https://md.research.elamur.ai/free/en/papers/see-2019-massively-pretrained-language-models-make/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Abigail See, Aneesh Pappu, Rohun Saxena, et al.*2019 · 213 citations*
2. **[NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models](https://md.research.elamur.ai/free/en/papers/rao-2025-normad-framework-measuring-cultural-adaptability/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.*2025 · 46 citations*
3. **[Don't Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting ↗](https://aclanthology.org/2023.emnlp-main.701/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Akhila Yerukola et al.*2023 · 9 citations*
4. **[Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering ↗](https://arxiv.org/abs/2502.13069) arXiv (Cornell University) · no summary yet**Sanidhya Vijayvargiya et al.*2025 · 8 citations*

## Co-authors here

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

- [Abigail See](https://md.research.elamur.ai/free/en/authors/abigail-see/)
- [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/)
- [Katharina Reinecke](https://md.research.elamur.ai/free/en/authors/katharina-reinecke/)
- [Maarten Sap](https://md.research.elamur.ai/free/en/authors/maarten-sap/)
- [Vishwa Shah](https://md.research.elamur.ai/free/en/authors/vishwa-shah/)

## Venues

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

- [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2019](https://md.research.elamur.ai/free/en/venues/conll/2019/)
- [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 342 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/akhila-yerukola/cited-by/).

Updated 2 November 2026
