activity
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

collaborators
Showing cs.CLShow all

7 papers · 1 filter

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.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…

cs.CL2025

Memp: Exploring Agent Procedural Memory

Runnan Fang, Yuan Liang, Xiaobin Wang +6

Large Language Models (LLMs) based agents excel at diverse tasks, yet they suffer from brittle procedural memory that is manually engineered or entangled in static parameters. In t…

cs.CL2025

MemOS: A Memory OS for AI System

Zhiyu Li, Chenyang Xi, Chunyu Li +36

Large Language Models (LLMs) have become an essential infrastructure for Artificial General Intelligence (AGI), yet their lack of well-defined memory management systems hinders the…

cs.CL2025

BiasEdit: Debiasing Stereotyped Language Models via Model Editing

Xin Xu, Wei Xu, Ningyu Zhang +1

Previous studies have established that language models manifest stereotyped biases. Existing debiasing strategies, such as retraining a model with counterfactual data, representati…