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20212026
most citedTowards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey

9 citations · 23 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Why Static Skill Inconsistencies Do Not Equate to Runtime Risks: A Behavioral Analysis of LLM Agent Execution

Fengrui Fan, Huahao Wang, Jingyi Fang +3

LLM agent frameworks heavily rely on external skill assets to standardize tool usage, encode operational workflows, and supply executable runtime resources. Despite their widesprea…

cs.SE2026

Characterizing Security Effects of OSS Vulnerabilities in Agent Systems

Yu Ji, Yang Wei, Yutao Hu +3

Software agents increasingly depend on open-source components when executing tools and interacting with external systems. Security flaws in these dependencies may therefore influen…

cs.AI2026

MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents

Jiajun Dong, Yutao Hu, Fengrui Fan +3

Large language model (LLM) agents must retain and use cross-step information to act coherently in long-horizon tasks. Existing methods improve memory accessibility, yet action-rele…

cs.AI2026

Towards Security-Auditable LLM Agents: A Unified Graph Representation

Chaofan Li, Lyuye Zhang, Jintao Zhai +9

LLM-based agentic systems are rapidly evolving to perform complex autonomous tasks through dynamic tool invocation, stateful memory management, and multi-agent collaboration. Howev…

cs.SD2026

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook

Kaiwen Luo, Zhenhong Zhou, Leyan Wang +32

Advances in Large Language Models (LLMs) have paved the way for Multimodal Large Language Models (MLLMs). Among these, Large Audio Language Models (LALMs) are essential for realizi…