5 papers
AutoTailor: Automatic, User-Aligned Capability Selection and Adaptation for Web Agents
Xinyun Cao, Adriana Szekeres, Fazle Elahi Faisal
Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but automatically discovered tool collections can be large, redundant, and po…
AutoSurfer -- Teaching Web Agents through Comprehensive Surfing, Learning, and Modeling
Fazle Elahi Faisal, Qianhui Wu, Baolin Peng +1
Recent advances in multimodal large language models (LLMs) have revolutionized web agents that can automate complex tasks on websites. However, their accuracy remains limited by th…
WebXSkill: Skill Learning for Autonomous Web Agents
Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12
Autonomous web agents powered by large language models (LLMs) remain brittle on long-horizon browser workflows. A key bottleneck is a grounding gap in existing skill formulations:…
ActionEngine: From Reactive to Programmatic Web Agents via State Machine Memory
Hongbin Zhong, Fazle Faisal, Luis França +4
Many web agents operate through a reactive execution loop: they observe the current interface, reason about the next action, execute it, and repeat. This design incurs latency and…
WAREX: Web Agent Reliability Evaluation on Existing Benchmarks
Su Kara, Fazle Faisal, Suman Nath
Recent advances in browser-based LLM agents have shown promise for automating tasks ranging from simple form filling to hotel booking or online shopping. Current benchmarks measure…