Towards Long-horizon Agentic Multimodal Search

Researchers at RUCAIBox have developed LMM-Searcher, a new multimodal deep search framework that addresses the challenge of managing heterogeneous information over long horizons by offloading visual data to an external file system and using lightweight identifiers. This innovation allows for efficient context management and superior performance in complex, multi-step reasoning tasks compared to existing models, making it valuable for developers working on advanced AI applications requiring extensive multimodal processing.

Read the full article at arXiv cs.CV (Vision)

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