🧑‍🔬 Akshay Nambi

🏛️ Affiliations

🏢Microsoft ResearchBengaluru · India2018–2026 · 17 paperscurrent🏢MicrosoftRedmond · United States2021–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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

📄 Papers

The most cited first (OpenAlex and our library).

1. MEGA: Multilingual Evaluation of Generative AI (2023 · 285 citations)
   Most evaluations of generative large language models have focused on English, so it is unclear how well they handle other languages.
2. Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models (2025 · 21 citations)
   Evaluations of multimodal large language models (MLLMs) usually involve one or a few images, or rely on too few test cases to be statistically meaningful.
3. Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning (2025 · 8 citations)
   Most benchmarks for math word problems (MWPs) check only whether an LLM reaches the right final answer. They largely ignore whether the model can spot and repair flawed reasoning, which matters for tutoring and other educational uses. The authors built MWP-MISTAKE, a benchmark that pairs each problem with correct and…

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. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 285 citations
2. Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hengyi Wang, Haizhou Shi, Shiwei Tan, et al.2025 · 21 citations
3. TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning ↗neural information processing systems · no summary yetNemin Wu et al.2024 · 15 citations
4. Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Joykirat Singh, Akshay Nambi, Vibhav Vineet2025 · 8 citations
5. Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression ↗arXiv (Cornell University) · no summary yetJoykirat Singh et al.2025 · 1 citation

🤝 Co-authors here

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

• Tanuja Ganu ×2
• Haizhou Shi
• Hao Wang
• Harshita Diddee
• Kabir Ahuja
• Kalika Bali
• Krithika Ramesh
• Millicent Ochieng
• Prachi Jain
• Rishav Hada
• Sunayana Sitaram

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 296 times (of the 149,439 papers whose bibliographies we read); 73 citing papers with a page here →.

Updated 31 October 2026

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