Papers by Jinwen Huang

1 papers
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models (2024.acl-long)

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Challenge: Existing studies overlook the multi-turn instruction following ability of large language models (LLMs) Extensive experiments show that Parrot improves current LLMs by up to 7.2% in multi- turn instruction following.
Approach: They propose a method for collecting multi-turn instructions that feature human-like queries, such as anaphora and ellipsis, and a context-aware preference optimization strategy to further enhance LLMs for complex queries.
Outcome: The proposed method improves existing LLMs by up to 7.2% in multi-turn instruction following.

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