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Shuvendu K. Lahiri — most-cited papers & profile · AI for Code
← authors
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overview
Shuvendu K. Lahiri
12
papers ·
146
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
2024 · 68 citations
Ranking LLM-Generated Loop Invariants for Program Verification
2023 · 27 citations
Interactive Code Generation via Test-Driven User-Intent Formalization
2022 · 24 citations
Finding Inductive Loop Invariants using Large Language Models
2023 · 15 citations
Guiding Language Models of Code with Global Context using Monitors
2023 · 5 citations
DeepMerge: Learning to Merge Programs
2021 · 2 citations
Intent Formalization: A Grand Challenge for Reliable Coding in the Age of AI Agents
2026 · 1 citations
ClassInvGen: Class Invariant Synthesis using Large Language Models
2025 · 1 citations
Enabling Open-World Specification Mining via Unsupervised Learning
2019 · 1 citations
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
2023 · 1 citations
3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers
2024 · 1 citations
LLM-Vectorizer: LLM-based Verified Loop Vectorizer
2024
Top co-authors
Saikat Chakraborty
· 5
Sarah Fakhoury
· 4
Aaditya Naik
· 2
Aditya Senthilnathan
· 2
Akash Lal
· 2
Aseem Rastogi
· 2
Jubi Taneja
· 2
Madanlal Musuvathi
· 2
Nikhil Swamy
· 2
Rahul Sharma
· 2
Adharsh Kamath
· 1
Aditya Kanade
· 1
Topics
Software Engineering
Code Generation
Code Models
Testing
Code Understanding
Program Repair
Code Translation
Bug Detection
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