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20242026
most citedA Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

2 citations · 2 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.IR2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Yuyuan Feng, Zhishang Xiang, Chaobin Yang +32

LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit…

cs.CL2026

LightMem-Ego: Your AI Memory for Everyday Life

Yijun Chen, Boyi Xiao, Yixian Zhao +10

Personal AI assistants on mobile and wearable devices continuously perceive users' daily lives through visual and audio streams. However, answering queries about past experiences r…

cs.CL2026

ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails

Yan Wang, Zhixuan Chu, Zihao Xue +9

Reasoning-based LLM guardrails improve safety moderation by generating explicit rationales before issuing final decisions. However, their rationales do not always lead to faithful…

cs.LG2026

LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis

Kewei Xu, Xiaoben Lu, Shuofei Qiao +4

Real-world data analysis is inherently iterative, yet existing benchmarks mostly evaluate isolated or short interactive tasks, leaving agents' ability to track evolving analytical…

cs.CL2026

U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents

Jin Su, Runnan Fang, Yeqiu Li +5

Large language model (LLM)-based agents have been successfully deployed in many tool-augmented settings, but their scalability is fundamentally constrained by context length. Exist…