most citedHalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification

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cs.SE2026

Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software

Bhanu Prakash Vangala, Tanu Malik

Code generation has emerged as a central capability of large language models, with coding agents now able to produce functionally correct software projects from natural language pr…

cs.SE2025

AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents

Bhanu Prakash Vangala, Ali Adibifar, Ashish Gehani +1

The rise of Large Language Models (LLMs) as coding agents promises to accelerate software development, but their impact on generated code reproducibility remains largely unexplored…