activity
20192026
most citedLarge Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning

9 citations · 20 across the 13 of their papers we have counts for

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Showing cs.CRShow all

2 papers · 1 filter

cs.CR2025

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection

Bo Lin, Shangwen Wang, Yihao Qin +2

Retrieval-Augmented Code Generation (RACG) leverages external knowledge to enhance Large Language Models (LLMs) in code synthesis, improving the functional correctness of the gener…

cs.CR2025

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation

Bo Lin, Shangwen Wang, Liqian Chen +1

The integration of Large Language Models (LLMs) into software development has revolutionized the field, particularly through the use of Retrieval-Augmented Code Generation (RACG) s…