Search Results for author: Zexiong Ma

Found 3 papers, 2 papers with code

Make Your LLM Fully Utilize the Context

2 code implementations25 Apr 2024 Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou

While many contemporary large language models (LLMs) can process lengthy input, they still struggle to fully utilize information within the long context, known as the lost-in-the-middle challenge.

4k Information Retrieval +1

Compositional API Recommendation for Library-Oriented Code Generation

no code implementations29 Feb 2024 Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin

However, the performance remains unsatisfactory in generating library-oriented code, especially for the libraries not present in the training data of LLMs.

Library-Oriented Code Generation

Learning From Mistakes Makes LLM Better Reasoner

1 code implementation31 Oct 2023 Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

To further improve their reasoning capabilities, this work explores whether LLMs can LEarn from MistAkes (LEMA), akin to the human learning process.

GSM8K Math +1

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