--- title: "Neha Verma — author profile and papers" description: "Neha Verma, Swami Vivekanand Subharti University: 2 papers on Elamur Research (2020–2022), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/neha-verma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/neha-verma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Neha Verma # Neha Verma 2 papers on this site · 2020–2022 current affiliation [Swami Vivekanand Subharti University](https://ror.org/053h7gw81), Meerut, India; [Indira Gandhi Delhi Technical University for Women](https://ror.org/057c5p638), New Delhi, India Neha Verma has 2 papers on this site, in 2020–2022, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Chiachun Hsieh](https://md.research.elamur.ai/free/en/authors/chiachun-hsieh/), [Linyong Nan](https://md.research.elamur.ai/free/en/authors/linyong-nan/), [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/). [OpenAlex](https://openalex.org/A5016147947) · [ORCID](https://orcid.org/0000-0002-9675-8427) · [**h-index 7**](https://openalex.org/authors/A5016147947) · [28 works](https://openalex.org/works?filter=author.id:A5016147947) · [651 citations](https://openalex.org/works?filter=author.id:A5016147947&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/neha-verma/#papers) · [244 citations in our library](https://md.research.elamur.ai/free/en/authors/neha-verma/cited-by/) 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=Neha+Verma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Neha+Verma) · [dblp](https://dblp.org/search?q=Neha+Verma) · [ACL Anthology](https://aclanthology.org/search/?q=Neha+Verma) ## Affiliations - [Indira Gandhi Delhi Technical University for Women](https://ror.org/057c5p638) · New Delhi, India —current · 2010–2026 on 2 papers - [Swami Vivekanand Subharti University](https://ror.org/053h7gw81) · Meerut, India —current · 2020–2026 on 2 papers - [Netaji Subhas University of Technology](https://ror.org/01fczmh85) · New Delhi, India —2025 on 2 papers - [Yale University](https://ror.org/03v76x132) · New Haven, United States —2019–2022 on 6 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Topics [Question answering 1](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation 1](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Papers The most cited first (OpenAlex and our library). 1. **[FeTaQA: Free-form Table Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/)** *(2022 · 234 citations)* Most table question answering benchmarks expect a short entity or value as the answer. Real users, however, often ask questions that require combining several facts from a table into a full sentence. To address this gap, the authors built FeTaQA, a dataset of 10,330 Wikipedia table questions with free-form answers.… 2. **[DART: Open-Domain Structured Data Record to Text Generation](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)** *(2020 · 154 citations)* Data-to-text corpora tend to cover narrow domains such as restaurants or a few DBPedia categories. They also usually describe inputs as flat slot-value lists or plain table schemas, which hides how table fields relate to each other. DART addresses both problems with an open-domain corpus of about 82k pairs, each… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Chiachun Hsieh](https://md.research.elamur.ai/free/en/authors/chiachun-hsieh/) ×2 - [Linyong Nan](https://md.research.elamur.ai/free/en/authors/linyong-nan/) ×2 - [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) ×2 - [Xiangru Tang](https://md.research.elamur.ai/free/en/authors/xiangru-tang/) ×2 - [Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) - [Hailey Schoelkopf](https://md.research.elamur.ai/free/en/authors/hailey-schoelkopf/) - [Mutethia Mutuma](https://md.research.elamur.ai/free/en/authors/mutethia-mutuma/) - [Wojciech Kryściński](https://md.research.elamur.ai/free/en/authors/wojciech-kryscinski/) - [Xi Victoria Lin](https://md.research.elamur.ai/free/en/authors/xi-victoria-lin/) ## Cited by Papers of our library cite their works 244 times (of the 140 884 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/neha-verma/cited-by/).