Papers by Eric Pasewark

1 papers
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning (2024.acl-long)

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Challenge: Existing methods to solve compositional tasks are limited by complexity and complexity.
Approach: They propose a method that tunes large language models to break down a problem into subproblems, solve those subproblem, and combine the results.
Outcome: The proposed method significantly improves model performance on three representative compositional tasks: integer addition, dynamic programming, and parity.

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