Paper proposing methods to enhance logical reasoning in vision-language models by integrating neuro-symbolic AI techniques with reinforcement learning, addressing gaps in VLM inference capabilities.
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Incentivizing Neuro-symbolic Language-based Reasoning in VLMs via Reinforcement Learning
Researchers propose training vision-language models with neuro-symbolic techniques and reinforcement learning to strengthen logical reasoning, bridging gaps in VLM inference capabilities.
Monday, April 27, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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