Papers

• Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models (2023)
  Haoning Wu et al.
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• Silkie: Preference Distillation for Large Visual Language Models (2023)
  Lei Li et al.
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• Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases (2023)
  Zhangyang Qi et al.
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• GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation (2024)
  Tong Wu et al.
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• ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models (2024)
  Rohan Wadhawan et al.
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• BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models (2024)
  Xueliang Zhao et al.
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• Towards Open-ended Visual Quality Comparison (2024)
  Haoning Wu et al.
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• InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD (2024)
  Xiaoyi Dong et al.
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• HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing (2024)
  Mude Hui et al.
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• LEGENT: Open Platform for Embodied Agents (2024)
  Zhili Cheng et al.
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• AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark (2024)
  Wenhao Chai et al.
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• VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models (2024)
  Byung-Kwan Lee et al.
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