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  1. arxiv.org › html › 2406Needle In A Multimodal Haystack - arXiv.org

    11 de jun. de 2024 · The Needle-In-A-Haystack (NIAH) test is a classic method in natural language processing used to evaluate the ability to understand long context. The vanilla NIAH benchmark introduces a retrieval task where the model is required to retrieve short text (needle) from a long document (haystack).

  2. arxiv.org › abs › 2406[2406.07230] Needle In A Multimodal Haystack - arXiv.org

    11 de jun. de 2024 · In this work, we present Needle In A Multimodal Haystack (MM-NIAH), the first benchmark specifically designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents.

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  4. github.com › Wang-ML-Lab › multimodal-needle-in-a-haystackGitHub - Wang-ML-Lab/multimodal-needle-in-a-haystack

    24 de jun. de 2024 · Our evaluation setup involves the following key components: (a) Needle Sub-Image: The needle sub-image to be retrieved based on the given caption. (b) Haystack Image Inputs: The long-context visual inputs consist of M images, each stitched from N $\times$ N sub-images.

  5. huggingface.co › papers › 2406Paper page - Needle In A Multimodal Haystack - Hugging Face

    17 de jun. de 2024 · In this work, we present Needle In A Multimodal Haystack (MM-NIAH), the first benchmark specifically designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents.

  6. arxiv.org › html › 2406BABILong: Testing the Limits of LLMs with Long Context...

    14 de jun. de 2024 · The proposed benchmark includes 20 diverse tasks, ranging from simple "needle in a haystack" scenarios with distractor facts to more complex tasks that require counting, logical reasoning, or spatial reasoning. The Figure 6 evaluates the complexity of the base short versions of these tasks.

  7. paperswithcode.com › paper › needle-in-a-multimodal-haystackNeedle In A Multimodal Haystack | Papers With Code

    11 de jun. de 2024 · In this work, we present Needle In A Multimodal Haystack (MM-NIAH), the first benchmark specifically designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents.

  8. www.researchgate.net › publication › 381318996_Needle_In_A_Multimodal_Haystack(PDF) Needle In A Multimodal Haystack - ResearchGate

    11 de jun. de 2024 · Yuchen Duan. Show all 16 authors. Preprints and early-stage research may not have been peer reviewed yet. References (79) Figures (2) Abstract and Figures. With the rapid advancement of...