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  MERRIN is a human-annotated benchmark for evaluating search-augmented agents on multi-hop reasoning over noisy, multimodal web sources. It measures agents' ability to (1) identify which modalities are relevant without explicit cues, (2) retrieve multimodal evidence from the open web, and (3) reason over noisy, conflicting, and incomplete sources spanning text, images, video, and audio.
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- [[🌐 **Website**](https://merrin-benchmark.github.io/)] [[πŸ“„ **Paper**](https://arxiv.org/abs/)] [[πŸ’» **Code**](https://github.com/HanNight/MERRIN)]
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  ## Dataset Structure
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  title={MERRIN: Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments},
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  author={Han Wang and David Wan and Hyunji Lee and Thinh Pham and Mikaela Cankosyan and Weiyuan Chen and Elias Stengel-Eskin and Tu Vu and Mohit Bansal},
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  year={2026},
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- journal={arXiv preprint arXiv:}
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  }
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  ```
 
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  MERRIN is a human-annotated benchmark for evaluating search-augmented agents on multi-hop reasoning over noisy, multimodal web sources. It measures agents' ability to (1) identify which modalities are relevant without explicit cues, (2) retrieve multimodal evidence from the open web, and (3) reason over noisy, conflicting, and incomplete sources spanning text, images, video, and audio.
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+ [[🌐 **Website**](https://merrin-benchmark.github.io/)] [[πŸ“„ **Paper**](https://arxiv.org/abs/2604.13418)] [[πŸ’» **Code**](https://github.com/HanNight/MERRIN)]
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  ## Dataset Structure
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  title={MERRIN: Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments},
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  author={Han Wang and David Wan and Hyunji Lee and Thinh Pham and Mikaela Cankosyan and Weiyuan Chen and Elias Stengel-Eskin and Tu Vu and Mohit Bansal},
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  year={2026},
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+ journal={arXiv preprint arXiv:2604.13418}
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  }
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  ```