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Gaurav Kumar

Gaurav Kumar has 3 papers in our library, in 2014–2026, most of them on Machine translation, Language models & pretraining, Dialogue systems; often with Chris Callison-Burch, Daniel Povey, Kevin Duh.

3 papers in our library · 2014–2026

OpenAlex · h-index 12 · 41 works · 904 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 142 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5702

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. 10 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Curriculum Learning for Domain Adaptation in Neural Machine Translation (2019 · 169 citations)
    Neural MT systems trained on broad, mixed-domain data tend to underperform on specialised domains where parallel text is scarce.
  2. Translations of the Callhome Egyptian Arabic corpus for conversational speech translation (2014 · 28 citations)
    Research on translating conversational speech has been held back by the lack of in-domain data. For Egyptian Arabic in particular, no resource aligned speech, transcripts and English translations from the same domain. As a result, translation systems were usually trained on scripted or written text that differs…
  3. AI-Monitors at SemEval-2026 Task 4: A Hybrid Embedding and LLM Ensemble for Narrative Similarity (2026 · 1 citation)
    The paper addresses SemEval-2026 Task 4 (Track A). Given an anchor story, a system must decide which of two candidate stories is closer to it in narrative terms: Abstract Theme, Course of Action and Outcomes, not word overlap. The dataset uses Wikipedia synopses and keeps mainly ambiguous triples on which two…

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. Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetReno Kriz et al.2019 · 93 citations
  2. Reinforcement Learning based Curriculum Optimization for Neural Machine Translation ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetGaurav Kumar et al.2019 · 93 citations

 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 142 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

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