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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 83 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2408.16500
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LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper • 2306.17107 • Published • 11 -
On the Hidden Mystery of OCR in Large Multimodal Models
Paper • 2305.07895 • Published -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 8 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 51
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 180 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 50 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 41
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 31 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 28 -
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Paper • 2401.01974 • Published • 7 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 28
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To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper • 2311.07574 • Published • 16 -
CSGO: Content-Style Composition in Text-to-Image Generation
Paper • 2408.16766 • Published • 18 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 93 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 57