arXiv (All)
open access
Why Generate a Click? Plug-in Decision Heads for Web Agents
Web agents built on vision language models decide every action by generating text such as click(12), although most of that text encodes a choice among a few action types and a few dozen marked elements. We read these choices directly from the hidden states that the generator computes while it reads
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- RF-Agent: Hierarchical Language-Agent Control for Instruction-Conditioned Active Spectrum Sensing#1201498
- Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance#196420
- Loud Failures, Quiet Failures: Fault Detection and Recovery in Tool-Using Language Model Agents#1234429
- Web$hell: A Unified Interface for Agentic Web Access#1297768
- Discriminative World Models for Web Agents#632822
Record · ID 1355043
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive