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Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 24 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 30 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 41
Collections
Discover the best community collections!
Collections including paper arxiv:2409.18869
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 58 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 15 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 72
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Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
Paper • 2401.15977 • Published • 39 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Paper • 2307.04725 • Published • 64 -
Boximator: Generating Rich and Controllable Motions for Video Synthesis
Paper • 2402.01566 • Published • 27
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 300
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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 • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 24 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 30 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 41
-
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 300
-
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 58 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 15 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 72
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
Paper • 2401.15977 • Published • 39 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Paper • 2307.04725 • Published • 64 -
Boximator: Generating Rich and Controllable Motions for Video Synthesis
Paper • 2402.01566 • Published • 27