2 citations · 2 across the 4 of their papers we have counts for
4 papers
Format Sensitivity Index: Token-Controlled Prompt Wrapper Robustness and Schema Compliance in LLM Benchmarking
Deep Pankajbhai Mehta
Prompt wrappers often differ only in formatting, yet they can change model scores enough to flip leaderboard conclusions. We study this variance under a token-controlled protocol a…
Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies
Deep Pankajbhai Mehta
Training large language models requires distributing computation across many accelerators, yet practitioners select parallelism strategies (data, tensor, pipeline, ZeRO) through tr…
Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning
Deep Pankajbhai Mehta
When AI systems explain their reasoning step-by-step, practitioners often assume these explanations reveal what actually influenced the AI's answer. We tested this assumption by em…
Automated DevOps Pipeline Generation for Code Repositories using Large Language Models
Deep Mehta, Kartik Rawool, Subodh Gujar +1
Automating software development processes through the orchestration of GitHub Action workflows has revolutionized the efficiency and agility of software delivery pipelines. This pa…