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Varun Gumma

Varun Gumma has 3 papers in our library, in 2023–2024, most of them on Machine translation, Language models & pretraining, Multilingual & cross-lingual NLP; often with Kalika Bali, Mohamed Ahmed, Rishav Hada.

3 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 6 · 33 works · 118 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 281 times in our library · ⭐ Paper Stars ranking: #4007

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. 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages (2023 · 200 citations)
    India's 22 scheduled languages have been poorly served by machine translation. Before this work, no public parallel data covered all of them, no benchmark spanned all 22 with India-relevant material, and no open or commercial model supported the full set. The authors address this on four fronts: training data…
  2. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks (2024 · 74 citations)
    Most LLM evaluation targets English, so it is unclear how recent models handle other languages, especially low-resource ones.
  3. Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? (2023 · 69 citations)
    Scaling LLM evaluation beyond English is difficult. Benchmarks cover few languages and few realistic tasks, automatic metrics handle rich morphology and unusual scripts poorly, and native-speaker judges are costly and slow. The authors test whether GPT-4, scoring outputs without reference texts, can replace or…

 Co-authors here

12 of 14 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 281 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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