Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Kaixin Xu, Chunyi Li, Jingwen Hou, Guangtao Zhai, Geng Xue, Wenxiu Sun
2024年份
55顶会引用
摘要
Sensetime Research, 4 A*STAR 64.60% 59.22% 55.76% 47.98% 67.30% 58.90% 73.76% 60.07% 78.64% 63.99% 63.78% 65.25% 68.97% 67.80% 79.46%
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引用它的顶会 Paper55
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsPeter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo 等NeurIPS 2024 · 被引用 1,004 次
- Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsHaoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen 等ICML 2024 · 被引用 499 次
- Q-Insight: Understanding Image Quality via Visual Reinforcement LearningWeiqi Li, Xuanyu Zhang, Shijie Zhao, Yabin Zhang 等NeurIPS 2025 · 被引用 117 次
- Adaptive Image Quality Assessment via Teaching Large Multimodal Model to CompareHanwei Zhu, Haoning Wu, Yixuan Li, Zicheng Zhang 等NeurIPS 2024 · 被引用 108 次
- VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankTianhe Wu, Jian Zou, Jie Liang, Lei Zhang 等NeurIPS 2025 · 被引用 92 次
它引用的顶会 Paper18
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma 等NeurIPS 2022 · 被引用 22,562 次
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae LeeNeurIPS 2023 · 被引用 11,349 次
- Large Language Models are Zero-Shot ReasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo 等NeurIPS 2022 · 被引用 8,168 次
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong 等NeurIPS 2023 · 被引用 4,013 次
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