From the 1 of 8 linked papers with an AI index.
8 papers
The Tool Illusion: Rethinking Tool Use in Web Agents
Renze Lou, Baolin Peng, Wenlin Yao +5
The paper presents a large, controlled empirical study of tool use in web agents, examining how different tools, backbone models, and frameworks affect performance across multiple…
Skim: Speculative Execution for Fast and Efficient Web Agents
Mike Wong, Kevin Hsieh, Suman Nath +1
Skim is a speculative execution framework for web agents that exploits the predictable structure of purpose-built websites. Today's web-agent expense is not intrinsic to the tasks…
Thinking Ahead: Prospection-Guided Retrieval of Memory with Language Models
Harshita Chopra, Krishna Kant Chintalapudi, Suman Nath +2
Long-horizon personalization requires dialogue assistants to retrieve user-specific facts from extended interaction histories. In practice, many relevant facts often have low seman…
WebXSkill: Skill Learning for Autonomous Web Agents
Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12
Autonomous web agents powered by large language models (LLMs) have shown promise in completing complex browser tasks, yet they still struggle with long-horizon workflows. A key bot…
ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
Hongbin Zhong, Fazle Faisal, Luis França +4
Existing Graphical User Interface (GUI) agents operate through step-by-step calls to vision language models--taking a screenshot, reasoning about the next action, executing it, the…
Reinforcement World Model Learning for LLM-based Agents
Xiao Yu, Baolin Peng, Ruize Xu +6
Large language models (LLMs) have achieved strong performance in language-centric tasks. However, in agentic settings, LLMs often struggle to anticipate action consequences and ada…