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Lingzhe Gao

2 accepted papers

2025

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

AAAI 2025technical

Recent advancements in open-source code large language models (LLMs) have been driven by fine-tuning on the data generated from powerful closed-source LLMs, which are expensive to obtain. This paper explores whether it is possible to use a fine-tuned open-source model to generate additional data to…

2025

RACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction

EMNLP 2025

In web search scenarios, erroneous queries frequently degrade users’ experience through irrelevant results, underscoring the pivotal role of Chinese Spelling Check (CSC) systems. Although large language models (LLMs) exhibit remarkable capabilities across many tasks, they face critical challenges in