Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment
Test-Time Scaling (TTS), which samples multiple candidate actions and ranks them via a Critic Model, has emerged as a promising paradigm for generalist GUI agents. Its efficacy thus hinges on the critic's fine-grained ranking ability. However, existing GUI critic models uniformly adopt binary classification. Our motivational analysis of these models exposes a severe entanglement: scores for valid actions and plausible-but-invalid distractors become indistinguishable. We attribute this failure to
Record details
Published: 14 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
arXiv · 13 May 2026
From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
arXiv · 13 May 2026
Unweighted ranking for value-based decision making with uncertainty
arXiv · 13 May 2026
Position: Assistive Agents Need Accessibility Alignment
arXiv · 13 May 2026
From I/O to Code with Discovery Agent
arXiv · 14 May 2026
Ensemble Monitoring for AI Control: Diverse Signals Outweigh More Compute
arXiv · 14 May 2026
How to cite this record
ethics.ai (14 May 2026), “Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment,” evidence record 4352, https://ethics.ai/record/4352 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.