2 papers
cs.CL2026
Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives
Ritam Upadhyay, Naman Ahuja, Rishabh Baral +2
Large language model (LLM) approaches to tabular summarization rely on extensive prompt engineering, decomposition pipelines, or entity-level intermediate representations to achiev…
cs.CL2025
PHANTOM RECALL: When Familiar Puzzles Fool Smart Models
Souradeep Mukhopadhyay, Rishabh Baral, Nimeesh Mahajan +5
Large language models (LLMs) such as GPT, Gemini, and Claude often appear adept at solving classic logic puzzles--but how much genuine reasoning underlies their answers? Recent evi…