Paper Detail

WebRider: Persona-Conditioned Intent Controllers for Live-Web Assistance

Zhi Li, Tao Zhou, Yeqing Li, Eugene Ie, Demetri Terzopoulos

arxiv Score 14.9

Published 2026-08-07 · First seen 2026-08-10

Research Track B · General AI

Abstract

Delegating a web task involves more than asking a question; it requires transferring a policy: what to verify, how to handle uncertainty, which preferences matter, and when to stop. Yet, current live-web agents are evaluated solely on the final answer, ignoring the policy constraints that define the delegation. A plausible final answer can conceal violations of that policy. Our full live audit reveals this critical gap: a strong controller completes 99.2% of tasks but honors all policy constraints in only 38.8% of cases. Finishing does not imply fidelity. WebRider bridges this gap by formalizing the delegated policy as an intent contract---an operational record of goals, constraints, evidence obligations, answer form, and task-local persona controls that must hold even as web pages change. WebRider employs a hierarchical architecture: a top-layer controller maintains the contract, a middle layer realizes intentions as guarded executable actions, and a tool layer executes these actions via browser, search, and maps tools. Our benchmark, RiderBench, evaluates this design on 4,096 live-web contracts across 42 public websites, auditing both the internal contract state and the visible user experience to determine if a rollout preserved its policy and if the steps were persona-consistent. The guarded middle interface also serves as a high-quality training signal; an 8B action-policy model trained through this interface outperforms executable-only baselines under a fixed controller. By making the browsing path a first-class object, WebRider enables a system that is auditable, human-judgeable, and learnable without conflating action realization with final-answer decisions. Dataset URL: hf.co/datasets/WebRider/WebRider.

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BibTeX

@article{li2026webrider,
  title = {WebRider: Persona-Conditioned Intent Controllers for Live-Web Assistance},
  author = {Zhi Li and Tao Zhou and Yeqing Li and Eugene Ie and Demetri Terzopoulos},
  year = {2026},
  abstract = {Delegating a web task involves more than asking a question; it requires transferring a policy: what to verify, how to handle uncertainty, which preferences matter, and when to stop. Yet, current live-web agents are evaluated solely on the final answer, ignoring the policy constraints that define the delegation. A plausible final answer can conceal violations of that policy. Our full live audit reveals this critical gap: a strong controller completes 99.2\% of tasks but honors all policy constrain},
  url = {https://arxiv.org/abs/2608.06704},
  keywords = {cs.AI, cs.HC},
  eprint = {2608.06704},
  archiveprefix = {arXiv},
}

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