An in-context learning approach that retrieves similar vulnerability examples by fusing code and description similarities improves LLM-based severity assessment over prior baselines.
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SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
An in-context learning approach that retrieves similar vulnerability examples by fusing code and description similarities improves LLM-based severity assessment over prior baselines.