Weibo AI's CLR Framework Boosts Test-Time Reasoning Accuracy by 27%
pmttyji · reddit · 2026-08-17
Weibo AI proposed Claim-Level Reliability Assessment (CLR), a training-free framework for test-time compute. CLR condenses reasoning traces into critical decision-level claims, verifying logical anchors by searching for negative evidence, leveraging the asymmetry that constructing a valid solution requires a flawless path while refuting an incorrect claim needs only one flaw. Experiments show CLR generally outperforms pass@1 and self-consistency under matched budgets; on GPT-OSS-20B/CMIMC25, it exceeds pass@1 by 27.15 percentage points while saving 37.0% of tokens.
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