MRGD guides MLLM decoding with a learned hallucination reward and a detector-based recall reward, allowing users to trade off object precision, recall, and test-time compute while reducing object hallucinations on CHAIR and AMBER.
Don’t throw away your value model! generating more preferable text with value-guided monte-carlo tree search decoding
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Controlling Multimodal LLMs via Reward-guided Decoding
MRGD guides MLLM decoding with a learned hallucination reward and a detector-based recall reward, allowing users to trade off object precision, recall, and test-time compute while reducing object hallucinations on CHAIR and AMBER.