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Collections including paper arxiv:2502.11831

about 6 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 51

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 59
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 53
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 43
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14, 2024 • 56
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 26
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 73
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 78

Large Language Models Think Too Fast To Explore Effectively

Paper • 2501.18009 • Published Jan 29 • 24
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published Feb 18 • 73

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 53
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 42
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 6

about 5 hours ago

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 29
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 41
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 55
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Paper • 2401.15977 • Published Jan 29, 2024 • 40
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Paper • 2307.04725 • Published Jul 10, 2023 • 64
Boximator: Generating Rich and Controllable Motions for Video Synthesis

Paper • 2402.01566 • Published Feb 2, 2024 • 28

about 6 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Large Language Models Think Too Fast To Explore Effectively

Paper • 2501.18009 • Published Jan 29 • 24
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Paper • 2502.13063 • Published Feb 18 • 73

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 51

Image-Video General Tasks

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Paper • 2501.04001 • Published Jan 7 • 47
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Paper • 2501.03895 • Published Jan 7 • 53
An Empirical Study of Autoregressive Pre-training from Videos

Paper • 2501.05453 • Published Jan 9 • 42
MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Paper • 2501.07556 • Published Jan 13 • 6

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 59
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 53
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 43
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

about 5 hours ago

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 29
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 41
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 55
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14, 2024 • 56
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 26
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 73
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 78

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Paper • 2401.15977 • Published Jan 29, 2024 • 40
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Paper • 2307.04725 • Published Jul 10, 2023 • 64
Boximator: Generating Rich and Controllable Motions for Video Synthesis

Paper • 2402.01566 • Published Feb 2, 2024 • 28

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