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News/Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture
arxiv
PublishedMay 15, 2026 at 4:00 AM
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Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture

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Publisher summary· verbatim

arXiv:2605.14448v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) have emerged as a powerful backbone for multimodal embeddings. Recent methods introduce chain-of-thought (CoT) reasoning into the embedding pipeline to improve retrieval quality, but remain costly in both mode

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    Think When Needed (TWN)
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Mentioned models
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    Think When Needed (TWN)
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arxiv
Read original ↗All from arxiv →
Tags
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#multimodal-embeddings#chain-of-thought#efficiency#retrieval-quality

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