--- title: "Mike D'Arcy — author profile and papers · Question answering" description: "Mike D'Arcy, Allen Institute for Artificial Intelligence: 4 papers on Elamur Research (2019–2024), h-index 16 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/mike-d-arcy/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mike-d-arcy/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mike D'Arcy # Mike D'Arcy Mike D'Arcy has 4 papers in our library, in 2019–2024, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Doug Downey](https://md.research.elamur.ai/free/en/authors/doug-downey/), [Tom Hope](https://md.research.elamur.ai/free/en/authors/tom-hope/), [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/). 4 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5033206229) · [ORCID](https://orcid.org/0000-0003-2280-917X) · [Wikidata](https://www.wikidata.org/wiki/Q56511784) · [**h-index 16**](https://openalex.org/authors/A5033206229) · [42 works](https://openalex.org/works?filter=author.id:A5033206229) · [1,001 citations](https://openalex.org/works?filter=author.id:A5033206229&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/mike-d-arcy/#papers) · [🔗 Cited 285 times in our library](https://md.research.elamur.ai/free/en/authors/mike-d-arcy/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5883](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5883) 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=Mike+D%27Arcy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mike+D%27Arcy) · [dblp](https://dblp.org/search?q=Mike+D%27Arcy) · [ACL Anthology](https://aclanthology.org/search/?q=Mike+D%27Arcy) ## Affiliations [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Southern California** Los Angeles · United States 2001–2024 · 16 papersEmployment since 2001 · Lead Research Engineer, Informatics Systems Research Division](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**Northwestern University** Evanston · United States 2017–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/northwestern-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [History and Philosophy of Science · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Literature and Literary Theory · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/mike-d-arcy/year/2024/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/mike-d-arcy/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense](https://md.research.elamur.ai/free/en/papers/chen-2019-codah-adversarially-authored-question-answering/)** *(2019 · 90 citations)* Pre-trained transformer models such as BERT reached or exceeded human scores on SWAG, a sentence-completion benchmark for commonsense inference. 2. **[MARG: Multi-Agent Review Generation for Scientific Papers](https://md.research.elamur.ai/free/en/papers/arcy-2024-marg-multi-agent-review/)** *(2024 · 76 citations)* Large language models struggle to critique full scientific papers: these texts are long and technical, and they often exceed or underuse a model's context window. 3. **[OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs](https://md.research.elamur.ai/free/en/papers/asai-2024-openscholar-synthesizing-scientific-literature/)** *(2024 · 62 citations)* Large language models often fail researchers who need to digest scientific literature. They invent references, rely on outdated pre-training knowledge, and seldom show the sources behind their claims. OpenScholar addresses this with a fully open retrieval-augmented system built on OpenScholar-DataStore (OSDS), an… 4. **[ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews](https://md.research.elamur.ai/free/en/papers/arcy-2024-aries-corpus-scientific-paper-edits/)** *(2024 · 32 citations)* Turning reviewer feedback into concrete manuscript revisions requires interpretation and domain reasoning, and there has been little data for studying this in technical writing. ## All works 7 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[SciRepEval: A Multi-Format Benchmark for Scientific Document Representations ↗](https://aclanthology.org/2023.emnlp-main.338/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Amanpreet Singh et al.*2023 · 128 citations* 2. **[CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense](https://md.research.elamur.ai/free/en/papers/chen-2019-codah-adversarially-authored-question-answering/) [Workshop on Evaluating Vector Space Representations for NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/)**Michael Chen, Mike D'Arcy, Alisa Liu, et al.*2019 · 90 citations* 3. [**MARG: Multi-Agent Review Generation for Scientific Papers arXiv:2401.04259**Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.*2024 · 76 citations*](https://md.research.elamur.ai/free/en/papers/arcy-2024-marg-multi-agent-review/) 4. [**OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs arXiv:2411.14199**Akari Asai, Jacqueline He, Rulin Shao, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-openscholar-synthesizing-scientific-literature/) 5. **[Synthesizing scientific literature with retrieval-augmented language models ↗](https://doi.org/10.1038/s41586-025-10072-4) Nature · no summary yet**Akari Asai et al.*2026 · 42 citations* 6. **[ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews](https://md.research.elamur.ai/free/en/papers/arcy-2024-aries-corpus-scientific-paper-edits/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike D'Arcy, Alexis Ross, Erin Bransom, et al.*2024 · 32 citations* 7. **[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* ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Doug Downey](https://md.research.elamur.ai/free/en/authors/doug-downey/) ×3 - [Tom Hope](https://md.research.elamur.ai/free/en/authors/tom-hope/) ×2 - [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/) - [Alexis Ross](https://md.research.elamur.ai/free/en/authors/alexis-ross/) - [Alisa Liu](https://md.research.elamur.ai/free/en/authors/alisa-liu/) - [Amanpreet Singh](https://md.research.elamur.ai/free/en/authors/amanpreet-singh/) - [Bailey Kuehl](https://md.research.elamur.ai/free/en/authors/bailey-kuehl/) - [David Wadden](https://md.research.elamur.ai/free/en/authors/david-wadden/) - [Erin Bransom](https://md.research.elamur.ai/free/en/authors/erin-bransom/) - [Jared Fernandez](https://md.research.elamur.ai/free/en/authors/jared-fernandez/) - [Jonathan Bragg](https://md.research.elamur.ai/free/en/authors/jonathan-bragg/) - [Joseph Chee Chang](https://md.research.elamur.ai/free/en/authors/joseph-chee-chang/) ## 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/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Workshop on Evaluating Vector Space Representations for NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/): [Workshop on Evaluating Vector Space Representations for NLP 2019](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2019/) - Nature - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 285 times (of the 149,439 papers whose bibliographies we read); [65 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mike-d-arcy/cited-by/). Updated 2 November 2026