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Li Li

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Preprint Aug 2026

Frequency-Aware Continual Learning for Smart Contract Vulnerability Detection with Large Language Models

Smart contract vulnerability detection with Large Language Models (LLMs) faces three causally linked challenges. First, new vulnerability categories demand parameter-efficient adaptation, since full retraining is prohibitive for sequentially arriving tasks. Second, training per-task adapters on a shared backbone causes...

Teng-Hui Huang, Jia-Wen Kang, Dong-Ning Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

VRL-Bench: Benchmarking agents on computer control tasks under finite trial budgets

Learning from trial and error is a promising way to improve language agents on complex tasks such as computer control. Reflexion introduced verbal reinforcement learning, which turns failed trials into text that guides later attempts without updating model parameters. We introduce VRL-Bench, a harness for fair evaluati...

Yu Bai, Yukai Miao, Dawei Wang et al. · 0 citations

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