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New YANAMI dataset targets stateful interaction in multimodal AI models

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced YANAMI, a new large-scale multimodal dataset and benchmark designed to evaluate stateful interaction in unified multimodal models (UMMs). Current UMMs often struggle with tasks that require tracking evolving dialogue states across multiple turns, a limitation YANAMI aims to address. The dataset includes 400,000 dialogues with over 2 million images, covering scenarios like image editing and visual reasoning, and evaluates both dialogue state understanding and visual realization. AI

IMPACT This dataset could drive improvements in multimodal AI agents by enabling better evaluation of their ability to maintain context and state across interactions.

RANK_REASON The cluster describes a new dataset and benchmark for evaluating multimodal AI models, which falls under research.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New YANAMI dataset targets stateful interaction in multimodal AI models

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The cluster describes a new dataset and benchmark for evaluating multimodal AI models, which falls under research.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    YANAMI: A Large-Scale Multimodal Dataset and Benchmark for Multiturn Stateful Interaction

    YANAMI introduces a large-scale multimodal dialogue dataset and benchmark for stateful interaction, requiring models to track and realize evolving dialogue states across turns, and reveals that current unified multimodal models still struggle with this task.

  2. Mastodon — mastodon.social TIER_1 English(EN) · vinpatel ·

    Single-prompt evals can't surface stateful failures. YANAMI is a new multimodal dataset and benchmark built for multiturn, stateful interaction — the eval desig

    Single-prompt evals can't surface stateful failures. YANAMI is a new multimodal dataset and benchmark built for multiturn, stateful interaction — the eval design that agentic model testing has been missing. Worth a close look if you're working on LLMs or agentic # AI # LLM https:…

    LINKS vinpatel.com/…/can-your-model-keep-state-…

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