Papers by Bruce W Lee

    1 papers
    Instruction Tuning with Human Curriculum (2024.findings-naacl)

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    Challenge: a recent study shows that human curriculum-inspired strategies can enhance performance of large language models.
    Approach: They propose a method for generating instruction-response datasets that emulate human learning . they find that substantial improvements can be achieved through curriculum ordering .
    Outcome: The proposed method achieves performance improvements on truthfulQA, MMLU, OpenbookQA, and ARC-hard benchmarks without additional computational costs.

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