Papers by Alexander Cheung

    1 papers
    Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding (2025.emnlp-main)

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    Challenge: a common real-world skill of guesstimation is underexplored in large language model research . a recent study suggests that LLMs encode a world model that supports approximate reasoning .
    Approach: They propose to decode a guesstimation dataset using MARBLES, FUTURE, and ELECPRED . they replicate WOC effects in human participants and find similar benefits .
    Outcome: The proposed model improves accuracy over greedy, self-consistency, and mean decoding in human participants.

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