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Neel Kant

Neel Kant has 2 papers in our library, in 2021–2024, most of them on Question answering, Information retrieval & search; often with Aidan Swope, Bryan Catanzaro, Devendra Sachan.

2 papers in our library · 2021–2024

OpenAlex · h-index 7 · 22 works · 309 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 118 times in our library · ⭐ Paper Stars ranking: #4741

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢NvidiaSanta Clara · United States2021–2022 · 13 papers🏢NvidiaReading · United Kingdom2019–2021 · 2 papers

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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workQuestion answering · 1 work

 Works by year

2020s

20241 paperHelpSteer: Multi-attribute Helpfulness Dataset for SteerLM20211 paperEnd-to-End Training of Neural Retrievers for Open-Domain Question Answering

 Papers

The most cited first (OpenAlex and our library).

  1. End-to-End Training of Neural Retrievers for Open-Domain Question Answering (2021 · 115 citations)
    The paper examines how unsupervised and supervised signals can best be combined to train dense dual-encoder retrievers for open-domain question answering (OpenQA), where the evidence is a Wikipedia collection of about 21M documents.
  2. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM (2024 · 69 citations)
    Open helpfulness preference datasets usually give only an overall rating or a pairwise ranking. They do not say why one answer is better, so trained models can pick up shallow cues, such as preferring longer replies whether or not they are useful. The NVIDIA team built HelpSteer to address this. It is a…

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 118 times (of the 141,840 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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