29 citations · 77 across the 16 of their papers we have counts for
5 papers · 1 filter
Repository Structure-Aware Training Makes SLMs Better Issue Resolver
Zexiong Ma, Shengnan An, Zeqi Lin +2
Language models have been applied to various software development tasks, but the performance varies according to the scale of the models. Large Language Models (LLMs) outperform Sm…
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation
Zexiong Ma, Shengnan An, Zeqi Lin +3
Large language models (LLMs) are susceptible to generating hallucinated information, despite the integration of retrieval-augmented generation (RAG). Parallel context extension (PC…
STAND-Guard: A Small Task-Adaptive Content Moderation Model
Minjia Wang, Pingping Lin, Siqi Cai +5
Content moderation, the process of reviewing and monitoring the safety of generated content, is important for development of welcoming online platforms and responsible large langua…
Make Your LLM Fully Utilize the Context
Shengnan An, Zexiong Ma, Zeqi Lin +2
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-m…
Compositional API Recommendation for Library-Oriented Code Generation
Zexiong Ma, Shengnan An, Bing Xie +1
Large language models (LLMs) have achieved exceptional performance in code generation. However, the performance remains unsatisfactory in generating library-oriented code, especial…