🧑‍🔬 Rishav Hada

🏛️ Affiliations

🏢Microsoft ResearchBengaluru · India2023–2024 · 9 papers🏢MicrosoftRedmond · United States2023–2024 · 8 papers🎓Carnegie Mellon UniversityPittsburgh · United States2023–2024 · 4 papers🎓University of WashingtonSeattle · United States2023 · 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MEGA: Multilingual Evaluation of Generative AI (2023 · 282 citations)
   Most evaluations of generative large language models have focused on English, so it is unclear how well they handle other languages.
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…

All works

4 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. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 282 citations
2. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
3. Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?arXiv:2309.07462Rishav Hada, Varun Gumma, Adrian de Wynter, et al.2023 · 69 citations
4. “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English TextProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetRishav Hada et al.2023 · 26 citations

🤝 Co-authors here

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

• Kalika Bali ×3
• Sunayana Sitaram ×3
• Harshita Diddee ×2
• Millicent Ochieng ×2
• Mohamed Ahmed ×2
• Prachi Jain ×2
• Varun Gumma ×2
• Kabir Ahuja
• Monojit Choudhury

Venues

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

• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 400 times (of the 141,840 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated 24 October 2026

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