AI
Route-Verify-Vote: Procedure-Conditioned Self-Consistency for Mixed-Domain Reasoning
Publication: cs.AI updates on arXiv.org
Author: Xinchen Xiao
Source published: 08/10/2026, 04:00:00 UTC
Briefing created: 08/10/2026, 06:05:37 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 08/10/2026, 04:03:24 UTC.
Briefings
The Route-Verify-Vote framework addresses compositional generalization in language models by using procedure-conditioned self-consistency to handle mixed-domain reasoning. The system selects reasoning procedures based on domain labels, verifies options against constraints, and aggregates answer sets to identify complete correct options. On the official test set, voting over 16 sampled answer sets per question achieved an exact-set accuracy of 74.6%, with adaptive RVV reaching 77.3% and combining models on selected domain routes raising accuracy to 79.4%. The final system ranked second among participating systems, supporting the utility of domain-specific procedures and answer-set disagreement for allocating inference-time computation.
Key points
- Route-Verify-Vote (RVV) is a framework that uses language models without parameter updates to perform procedure-conditioned self-consistency for mixed-domain reasoning.
- The system selects reasoning procedures based on domain labels, verifies options against constraints, and aggregates answer sets to identify complete correct options, achieving 79.4% accuracy when combining models on selected domain routes.
Context and limitations
The study relies on the official test set and uses a snapshot from October 2026, limiting the generalizability of findings to other datasets or future evaluations.
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