Elamur Research⌕
☰
home / authors / Gaurav Singh Tomar

Gaurav Singh Tomar

Gaurav Singh Tomar has 3 papers in our library, in 2021–2023, most of them on Dialogue systems, Text generation, Information retrieval & search; often with David Reitter, Hannah Rashkin, Dipanjan Das.

3 papers in our library · 2021–2023

OpenAlex · ORCID · Wikidata · h-index 19 · 110 works · 2,067 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 2,436 citations in our library · 2 more in our library without a page yet · ⭐ Paper Star rank #3625

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Measuring Attribution in Natural Language Generation Models (2023 · 198 citations)
    Neural text generators often produce fluent statements that their underlying sources do not support. Prior work on hallucination and faithfulness lacked a shared, formally grounded way to measure this. The authors propose Attributable to Identified Sources (AIS), a framework that judges whether generated text about…
  2. Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features (2021 · 140 citations)
    Knowledge-grounded dialogue agents are meant to pass on information from a trusted source text. Datasets such as Wizard of Wikipedia, however, mix evidence-based replies with chit-chat, opinions and invented personal details, so models trained on them tend to hallucinate. Rather than collecting cleaner data, the…
  3. CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning (2022 · 95 citations)
    Open-domain conversational question answering (CQA) needs passage retrieval for questions that only make sense in light of earlier turns.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Measuring Attribution in Natural Language Generation ModelsHannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.Computational Linguistics · 198 citations
  2. Neural Paraphrase Identification of Questions with Noisy Pretraining (original ↗)Gaurav Singh Tomar et al.2017 · Proceedings of the First Workshop on Subword… · 81 citations · no summary yet
  3. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input (original ↗)Alon Jacovi et al.2025 · arXiv:2501.03200 · 31 citations · no summary yet

 Co-authors here

12 of 13 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 2,436 times (of the 141,840 papers whose bibliographies we read); 200 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/gaurav-singh-tomar/