SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning

• 类型：arxiv
• 标识：2607.10966
• 链接：https://arxiv.org/abs/2607.10966
• 主分类：multimodal
• 形态：benchmark
• 被引：0
• 被引来源：Semantic Scholar
• S2被引：0
• 影响力被引：0
• TLDR：Self-Verified Reasoner (SVR-R1), a multi-turn RL framework that turns a model's own verification into a learning signal for multimodal reasoning, is introduced, offering a simple yet effective recipe for bootstrapping multimodal reasoning.
• 副分类：evaluation
• 待LLM分类：否
• 标题中文：SVR-R1：在强化学习中通过自验证自举多模态推理
• TLDR中文：本文提出自验证推理器 SVR-R1，一种多轮强化学习框架，将模型自身的验证转化为多模态推理的学习信号，提供了一种简洁而有效的多模态推理自举方案。
• 来源文件：
• /inbox/tom/_candidates/2026-07-21-rag-retrieval-reranking-candidates.json
• /inbox/tom/_candidates/2026-07-21-agent-rag-longcontext-candidates.json
• [S2 enrich]