activity
20232026
most citedChatCounselor: A Large Language Models for Mental Health Support

42 citations · 59 across the 17 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CY2025

Investigating How MacBook Accessories Evolve across Generations, and Their Potential Environmental, Economical Impacts

Zeyi Liao, Guanqun Song, Ting Zhu

The technological transition of MacBook charging solutions from MagSafe to USB-C, followed by a return to MagSafe 3, encapsulates the dynamic interplay between technological advanc…

cs.CR2025

SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning

Kaiwen Zhou, Ahmed Elgohary, A S M Iftekhar +1

The ability of LLM agents to plan and invoke tools exposes them to new safety risks, making a comprehensive red-teaming system crucial for discovering vulnerabilities and ensuring…

cs.AI2025

Agent Learning via Early Experience

Kai Zhang, Xiangchao Chen, Bo Liu +27

A long-term goal of language agents is to learn and improve through their own experience, ultimately outperforming humans in complex, real-world tasks. However, training agents fro…

cs.CL2025

Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs

Yurun Chen, Xavier Hu, Yuhan Liu +8

As multimodal LLM-driven agents advance in autonomy and generalization, traditional static datasets face inherent scalability limitations and are insufficient for fully assessing t…

cs.AI2025

WebGuard: Building a Generalizable Guardrail for Web Agents

Boyuan Zheng, Zeyi Liao, Scott Salisbury +8

The rapid development of autonomous web agents powered by Large Language Models (LLMs), while greatly elevating efficiency, exposes the frontier risk of taking unintended or harmfu…

cs.AI2025

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Boyu Gou, Zanming Huang, Yuting Ning +23

Agentic search such as Deep Research systems-where agents autonomously browse the web, synthesize information, and return comprehensive citation-backed answers-represents a major s…

cs.CL2025

RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

Zeyi Liao, Jaylen Jones, Linxi Jiang +5

Computer-use agents (CUAs) promise to automate complex tasks across operating systems (OS) and the web, but remain vulnerable to indirect prompt injection. Current evaluations of t…