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Kushagra Dixit

2 accepted papers

2025

Enhancing Temporal Understanding in LLMs for Semi-structured Tables

NAACL 2025findings

Temporal reasoning over tabular data presents substantial challenges for large language models (LLMs), as evidenced by recent research. In this study, we conduct a comprehensive analysis of temporal datasets to pinpoint the specific limitations of LLMs. Our investigation leads to enhancements in Tem…

Cited by 3SourcePDFScholar
2025

LLM-Symbolic Integration for Robust Temporal Tabular Reasoning

ACL 2025finding

Temporal tabular question answering presents a significant challenge for Large Language Models (LLMs), requiring robust reasoning over structured data—a task where traditional prompting methods often fall short. These methods face challenges such as memorization, sensitivity to table size, and reduc…