Parameswaran Selvam
Parameswaran Selvam has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Code & programming languages; often with Shivdeep Singh, Hiroshi Kanayama, Mayank Mishra.
OpenAlex · ORCID · h-index 2 · 7 works · 29 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 44 times in our library · ⭐ Paper Stars ranking: #9595
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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 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksSoftware · 1 work
🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 1 workLanguage models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Granite Code Models: A Family of Open Foundation Models for Code Intelligence (2024 · 54 citations)
IBM Research addresses a gap in open code LLMs for enterprise use. Large general-purpose models are costly to run. Smaller code models tend to do well at generation but weaker at repair and explanation. Many open models also have unclear data provenance or restrictive licenses. The authors built Granite Code, a… - Think Like You Execute: Verifiable Chain of Thought from Program Traces (2026)
Synthetic chain-of-thought data for code is usually written by teacher LLMs. Its explanations can sound convincing while misreporting variable values or control flow, and models trained on it learn those errors. The authors (IBM Research) built an open-source Python pipeline that grounds every rationale in actual…
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