MAIL++ embeds bidirectional multi-modal agent layers with meta bridges directly into VLM computation modules for improved few-shot classification and retrieval over prior PEFT approaches.
arXiv preprint arXiv:2511.21772 , year =
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An SCM-GRPO framework grounds multi-hop reasoning in structural dependency graphs and optimizes chain length via rule-based RL, outperforming baselines on HoVer and EX-FEVER.
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MAIL++: Multi-Modal Bi-directional Agent Layer for Vision-Language Models
MAIL++ embeds bidirectional multi-modal agent layers with meta bridges directly into VLM computation modules for improved few-shot classification and retrieval over prior PEFT approaches.
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Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
An SCM-GRPO framework grounds multi-hop reasoning in structural dependency graphs and optimizes chain length via rule-based RL, outperforming baselines on HoVer and EX-FEVER.