Papers by Bhaskara Hanuma Vedula

    1 papers
    Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions (2025.emnlp-main)

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    Challenge: Exact label definitions are considered as clues to disambiguate unclear labels, helping models perform their tasks more effectively.
    Approach: They conducted controlled experiments on multiple explanation benchmark datasets and label definition conditions using expert-curated, LLM-generated, perturbed, and swapped definitions.
    Outcome: The results suggest that models often default to internal representations, particularly in general tasks, while domain-specific tasks benefit more from explicit definitions.

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