A new RL method called MoCA with Perception Verification rewards perceptual fidelity independently to improve both seeing and thinking in VLMs.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A two-phase non-parametric retrieval workflow that separates high-recall candidate retrieval from high-precision utility ranking with LLM-as-a-Judge scoring for evidence extraction in multilingual financial documents.
MASS-RAG uses distinct agents for evidence summarization, extraction, and reasoning, then synthesizes their outputs to improve answer quality over standard RAG baselines on four benchmarks, especially when evidence is distributed.
citing papers explorer
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Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning
A new RL method called MoCA with Perception Verification rewards perceptual fidelity independently to improve both seeing and thinking in VLMs.
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Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
A two-phase non-parametric retrieval workflow that separates high-recall candidate retrieval from high-precision utility ranking with LLM-as-a-Judge scoring for evidence extraction in multilingual financial documents.
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MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation
MASS-RAG uses distinct agents for evidence summarization, extraction, and reasoning, then synthesizes their outputs to improve answer quality over standard RAG baselines on four benchmarks, especially when evidence is distributed.