--- title: "Aakanksha Naik — author profile and papers in our library" description: "Aakanksha Naik, Allen Institute for Immunology: 2 papers on Elamur Research (2019–2025), h-index 12 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/aakanksha-naik/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aakanksha-naik/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aakanksha Naik # Aakanksha Naik Aakanksha Naik 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Abhilasha Ravichander](https://md.research.elamur.ai/free/en/authors/abhilasha-ravichander/), [Alan Li](https://md.research.elamur.ai/free/en/authors/alan-li/), [Carolyn Penstein Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/). 2 papers in our library · 2019–2025 [OpenAlex](https://openalex.org/A5087743328) · [ORCID](https://orcid.org/0000-0002-3673-0051) · [Wikidata](https://www.wikidata.org/wiki/Q130841432) · [**h-index 12**](https://openalex.org/authors/A5087743328) · [69 works](https://openalex.org/works?filter=author.id:A5087743328) · [568 citations](https://openalex.org/works?filter=author.id:A5087743328&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/#papers) · [🔗 Cited 1,001 times in our library](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7107](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7107) 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=Aakanksha+Naik) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aakanksha+Naik) · [dblp](https://dblp.org/search?q=Aakanksha+Naik) · [ACL Anthology](https://aclanthology.org/search/?q=Aakanksha+Naik) ## Affiliations [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2022–2026 · 39 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🔬**Allen Institute** Seattle · United States 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute/) · [🔬**Allen Institute for Immunology** Seattle · United States 2026 · 1 paper*current*](https://ror.org/0154kn471) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2017–2024 · 20 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Washington** Seattle · United States 2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏛️**National Institutes of Health** Bethesda · United States 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/government/national-institutes-of-health/) · [🏥**National Institutes of Health Clinical Center** Bethesda · United States 2021–2022 · 3 papers](https://ror.org/04vfsmv21) · [🎓**University of California, Berkeley** Berkeley · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Yale University** New Haven · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/yale-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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/year/2025/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)** *(2019 · 123 citations)* EQUATE is a benchmark of five test sets for quantitative reasoning in entailment: RTE-Quant (166 pairs from RTE2–4), NewsNLI (968 crowdsourced pairs from news summaries), RedditNLI (250 expert-labelled headline pairs), a synthetic stress test (7,500 pairs) and AwpNLI (722 algebra word problems turned into pairs). 2. **[SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://md.research.elamur.ai/free/en/papers/wadden-2025-sciriff-resource-enhance-language-model/)** *(2025 · 27 citations)* Researchers increasingly want LLMs that can work directly with scientific papers. That means following detailed instructions over long article text and returning structured, evidence-backed answers. Few training resources target this skill across multiple fields. The authors address the gap with SciRIFF, a… ## All works 8 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. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations* 2. **[Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ↗](https://aclanthology.org/2024.acl-long.840/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Luca Soldaini et al.*2024 · 341 citations* 3. **[Stress Test Evaluation for Natural Language Inference ↗](https://aclanthology.org/C18-1198/) Proceedings of the 27th International Conference on Computational Linguistics · no summary yet**Aakanksha Naik et al.*2018 · 285 citations* 4. [**EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference**Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.*English · 123 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/) 5. **[SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://md.research.elamur.ai/free/en/papers/wadden-2025-sciriff-resource-enhance-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Kejian Shi, Jacob Morrison, et al.*2025 · 27 citations* 6. **[AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite ↗](https://arxiv.org/abs/2510.21652) arXiv:2510.21652 · no summary yet**Jonathan Bragg et al.*2025 · 19 citations* 7. **[Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users ↗](https://aclanthology.org/2026.acl-long.723/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Nishant Balepur et al.*2026 · 2 citations* 8. **[DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute ↗](https://arxiv.org/abs/2604.23815) arXiv (Cornell University) · no summary yet**Nishant Balepur et al.*2026 · 1 citation* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Abhilasha Ravichander](https://md.research.elamur.ai/free/en/authors/abhilasha-ravichander/) - [Alan Li](https://md.research.elamur.ai/free/en/authors/alan-li/) - [Carolyn Penstein Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/) - [David Wadden](https://md.research.elamur.ai/free/en/authors/david-wadden/) - [Doug Downey](https://md.research.elamur.ai/free/en/authors/doug-downey/) - [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) - [Jacob Morrison](https://md.research.elamur.ai/free/en/authors/jacob-morrison/) - [Kejian Shi](https://md.research.elamur.ai/free/en/authors/kejian-shi/) - [Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/) - [Luca Soldaini](https://md.research.elamur.ai/free/en/authors/luca-soldaini/) - [Shannon Zejiang Shen](https://md.research.elamur.ai/free/en/authors/shannon-zejiang-shen/) - [Tom Hope](https://md.research.elamur.ai/free/en/authors/tom-hope/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×3 - [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/) - [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/) - Proceedings of the 27th International Conference on Computational Linguistics ## Cited by Papers of our library cite their works 1,001 times (of the 149,439 papers whose bibliographies we read); [232 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/cited-by/). Updated 31 October 2026