Anchoring What Matters: A Dual-Level Learning Framework for Visually-Grounded Multimodal Reasoning
cs.AI
Submitted: 2026-09-16
Updated: 2026-09-16
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
- Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning
- Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought
- Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs
- MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
- Visually-Guided Policy Optimization for Multimodal Reasoning
- LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
- Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models
- RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
- A Survey of Reinforcement Learning for Large Reasoning Models
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