2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025
EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
Runze Li, Yuwen Zhai, Bo Xu +5
Contemporary GUI agents, while increasingly capable due to advances in Large Vision-Language Models (VLMs), often operate with a critical limitation: they treat each task in isolat…
cs.CL2025★ 1 cited
Red Teaming Large Language Models for Healthcare
Vahid Balazadeh, Michael Cooper, David Pellow +32
We present the design process and findings of the pre-conference workshop at the Machine Learning for Healthcare Conference (2024) entitled Red Teaming Large Language Models for He…
cs.CL2024★ 2 cited
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
Haoran Sun, Lixin Liu, Junjie Li +4
The ability of large language models (LLMs) to follow instructions is crucial to real-world applications. Despite recent advances, several studies have highlighted that LLMs strugg…