Author

Tanu Malik

h-index 2 View on Semantic Scholar

We have 3 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

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

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 prompts. However, functional correctness alone does not capture a critical dimension of generation quality: environment specification, defined...

Bhanu Prakash Vangala, Tanu Malik · 0 citations

Conference Jul 2026

Pick and Spin: Cold-Start-Aware Routing for Self-Hosted LLM Serving

Self-hosting multiple large language models on private or hybrid cloud infrastructure is increasingly appealing for organizations seeking privacy, cost control, and customization, yet no existing system coordinates model selection with model lifecycle management. Serving frameworks such as KServe and Ray Serve deploy m...

Bhanu Prakash Vangala, Tanu Malik · IEEE International Conferenc... · 0 citations

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

An empirical study of whether complete software artifacts generated by LLM coding agents can be executed in a clean environment using only the code, dependency specifications, and instructions the agent provides suggests that coding-agent evaluation should treat clean-environment executability as a first-class metric a...

Bhanu Prakash Vangala, Ashish Gehani, Tanu Malik · 0 citations