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Rishabh Maheshwary

Rishabh Maheshwary has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering, Multilingual & cross-lingual NLP; often with Alfonso Amayuelas, Angelika Romanou, Khyati Mahajan.

2 papers in our library · 2024–2026

OpenAlex · h-index 7 · 37 works · 197 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 94 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5241

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

🏢ServiceNowSanta Clara · United States2024–2026 · 12 paperscurrent🎓International Institute of Information Technology, HyderabadHyderabad · India2020–2022 · 9 papers🏢CohereSan Francisco2024–2025 · 2 papers🎓University of Illinois ChicagoChicago · United States2024–2025 · 2 papers

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

 Concepts, shelves and topics

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 workQuestion answering · 1 workReasoning · 1 work

 Works by year

2020s

20261 paperAugmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA20241 paperINCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

 Papers

The most cited first (OpenAlex and our library).

  1. INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge (2024 · 73 citations)
    Multilingual LLMs are hard to assess outside English because few evaluation sets exist. Many that do are translated from English, so they carry translation artifacts and ignore local context such as national laws, history or culture. INCLUDE addresses this with a benchmark built from exams written by native speakers…
  2. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA (2026)
    Iterative retrieval-augmented generation helps with multi-hop questions, but each retrieval round adds more documents to the prompt.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgeAngelika Romanou, Negar Foroutan, Anna Sotnikova, et al.arXiv:2411.19799 · 73 citations
  2. M-RewardBench: Evaluating Reward Models in Multilingual Settings · original ↗ · no summary yet · Proceedings of the 63rd Annual Meeting of the Association for Computational…Srishti Gureja et al.2025 · 26 citations
  3. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QARishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.Language Resources and Evaluation Conference (LREC)

 Co-authors here

8 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 94 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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