Papers by Harsh Mahajan

1 papers
TRANSIENTTABLES: Evaluating LLMs’ Reasoning on Temporally Evolving Semi-structured Tables (2025.naacl-long)

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Challenge: a recent study shows that large language models are limited in their ability to reason over time due to static datasets.
Approach: They present a dataset that includes 3,971 questions derived from over 14,000 tables . they introduce a template-based question-generation pipeline that harnesses LLMs to refine questions .
Outcome: The proposed model improves on the TRANSIENTTABLES dataset . it demonstrates that the model can reason over time, even when it is not static .

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