Scholar
Arjun Radhakrishna
Google Scholar ID: 3fJqC1sAAAAJ
Microsoft
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Citations
1,176
H-index
19
i10-index
32
Publications
20
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0
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Email
arradha@microsoft.com
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Publications
9 items
An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions
arXiv.org · 2026
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Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning
2025
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0
ConDABench: Interactive Evaluation of Language Models for Data Analysis
2025
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0
Do Code Models Suffer from the Dunning-Kruger Effect?
2025
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0
Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
2025
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TEN: Table Explicitization, Neurosymbolically
2025
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Ordered Semantically Diverse Sampling for Textual Data
2025
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TableTalk: Scaffolding Spreadsheet Development with a Language Agent
2025
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Resume (English only)
Background
Researcher in the PROSE team at Microsoft Research
Research motivated by the question: “Can computers help me build better systems quicker?”
Focuses on program synthesis and formal methods for programmers, students, and data scientists
Recently exploring 'modeless synthesis', where specifications are inferred automatically without explicit user input
Developed a system for automated refactoring and repetitive code edit suggestions, released as IntelliCode Suggestions in Visual Studio 2019
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