LLM Digest

Story

arxiv_cs_ai · Oct 30, 2026 · paper

Source brief

When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity

arxiv.orgOct 30, 2026
original source linked

In brief

World-action models increasingly apply test-time scaling, spending extra inference computation on candidate selection and adaptive allocation to improve control. Such gains are credible only when candidates carry expl...

Feed lens

evaluation

Read the original at arxiv.org →Open in live feed Read that day’s brief

When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity

Earlier in this thread 4 items

Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case

VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection

Understanding the limits of latent world models

An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks