Rakesh Menon
Rakesh Menon has 2 papers in our library, in 2021–2023, most of them on Language models & pretraining, Reasoning; often with Shashank Srivastava, Colin Raffel, Derek Tam.
OpenAlex · h-index 13 · 32 works · 640 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 80 times in our library · ⭐ Paper Stars ranking: #5775
Affiliations
🎓University of North Carolina at Chapel HillChapel Hill ·
United States2021–2024 · 10 papers🎓Indian Institute of Space Science and TechnologyThiruvananthapuram ·
India2021–2022 · 5 papers🎓National University of SingaporeSingapore ·
Singapore2002–2004 · 4 papers🎓University of Massachusetts AmherstAmherst Center ·
United States2017–2019 · 3 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Improving and Simplifying Pattern Exploiting Training (2021 · 189 citations)
Large language models such as GPT-3 can handle tasks from only a handful of labeled examples, but their size makes them hard to study or deploy. - Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models (2023 · 2 citations)
Vague quantifiers like few , most or some imply a proportion, but foundation models never receive direct supervision on what share of cases each one means. The authors treat quantifier interpretation as predicting a percentage interval on a discretized 0–100% grid. Their framework, PRESQUE, has three parts:
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