activity
20242026
most citedSmart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2026 · cs.AIShow all

1 paper · 2 filters

cs.AI2026

The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution

Chen Qian, Peng Wang, Dongrui Liu +10

Large Language Model (LLM)-based agents are widely used in real-world applications such as customer service, web navigation, and software engineering. As these systems become more…