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MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 20 -
Spectrally Pruned Gaussian Fields with Neural Compensation
Paper • 2405.00676 • Published • 10 -
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
Paper • 2404.18212 • Published • 29 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 120
Collections
Discover the best community collections!
Collections including paper arxiv:2501.04306
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 95 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 47 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 36 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 8 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 45 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 71 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 33 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 26 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
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FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 26 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 37 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 52 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
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Agents for self-driving laboratories applied to quantum computing
Paper • 2412.07978 • Published • 1 -
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
Paper • 2412.11427 • Published • 1 -
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
Paper • 2411.18015 • Published • 1 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 33
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 229 -
Learning an evolved mixture model for task-free continual learning
Paper • 2207.05080 • Published • 1 -
EVOLvE: Evaluating and Optimizing LLMs For Exploration
Paper • 2410.06238 • Published • 1 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 27
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 146 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 66
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Retentive Network: A Successor to Transformer for Large Language Models
Paper • 2307.08621 • Published • 170 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 33 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 77