3 papers
cs.AI2026
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…
cs.DC2026
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…
cs.AI2025
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…