Somak Aditya
Somak Aditya has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Ashish Kulkarni, Chitta Baral, Debopriyo Banerjee.
OpenAlex · h-index 9 · 49 works · 443 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 41 times in our library · ⭐ Paper Stars ranking: #9600
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 worksEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning (2024 · 27 citations)
This paper examines whether connecting a large language model to external tools helps with difficult mathematics, not just simple arithmetic. - Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models (2023 · 27 citations)
The paper asks how well language models handle logical reasoning expressed in natural language. Formal knowledge-representation systems needed heavy expert effort and did not scale. The authors first survey the field. They cover three reasoning types (deductive, inductive, abductive), the usual task formats, how…
Co-authors here
- Ashish Kulkarni
- Chitta Baral
- Debopriyo Banerjee
- Debrup Das
- Man Luo
- Mihir Parmar
- Neeraj Varshney
- Shrinidhi Kumbhar
Venues
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
Cited by
Updated
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