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Add LongShOTBench evaluation results
Verified signatureAdd the LongShOTBench (NeurIPS 2026 Evaluations & Datasets Track) benchmark authors' published results for Video-R1-7B on overall, core_perception, reasoning, information and multimodal. Each value is a rubric-weighted score on a 0-100 scale; higher is better. LongShOTBench evaluates long-form omni-modal video understanding: 3,401 open-ended single- and multi-turn samples (4,882 QA turns) over 274 real-world videos (~41 min avg) that require combining visual, speech and ambient-audio evidence. Answers are graded by an LLM judge (Qwen3-14B) against human-verified, weighted criterion-level rubrics. Source: https://longshot.cvmbzuai.com/leaderboard Benchmark: https://huggingface.co/datasets/MBZUAI/longshot-bench Paper: https://arxiv.org/abs/2512.16978235e17c
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Add/improve model card: add pipeline tag, library name, and link to paper/code (#1)
Verified signature- Add/improve model card: add pipeline tag, library name, and link to paper/code (baaf4a7c5f60c34c456e9a9cec26e8b4b1d04288) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>b62de01
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Initial model upload
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initial commit
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