作者位次 #3/5ACL 2026Findings· Findings of ACL
Moneyball with LLM s: Analyzing Tabular Summarization in Sports Narratives
Ritam Upadhyay · Naman Ahuja · Rishabh Baral · Aparna Garimella · Vivek Gupta
摘要
Large language model (LLM) approaches to tabular summarization rely on extensive prompt engineering, decomposition pipelines, or entity-level intermediate representations to achieve strong performance. While effective, these strategies are computationally expensive and offer limited insight into...