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Collections including paper arxiv:2507.07095

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Thinks like machines

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation

Paper • 2501.01895 • Published Jan 3 • 55
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Paper • 2507.07202 • Published Jul 9 • 24

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training

Paper • 2504.17565 • Published Apr 24 • 2
AI-MO/NuminaMath-1.5

Viewer • Updated Feb 10 • 896k • 1.58k • 163
PrimeIntellect/synthetic-code-understanding

Viewer • Updated Feb 15 • 60.6k • 67 • 17
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Paper • 2405.20340 • Published May 30, 2024 • 20
Spectrally Pruned Gaussian Fields with Neural Compensation

Paper • 2405.00676 • Published May 1, 2024 • 10
Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Paper • 2404.18212 • Published Apr 28, 2024 • 29
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29, 2024 • 121

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 • 14
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

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Paper • 2507.07202 • Published Jul 9 • 24

Thinks like machines

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training

Paper • 2504.17565 • Published Apr 24 • 2
AI-MO/NuminaMath-1.5

Viewer • Updated Feb 10 • 896k • 1.58k • 163
PrimeIntellect/synthetic-code-understanding

Viewer • Updated Feb 15 • 60.6k • 67 • 17
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation

Paper • 2501.01895 • Published Jan 3 • 55
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Paper • 2507.07095 • Published Jul 9 • 54

MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Paper • 2405.20340 • Published May 30, 2024 • 20
Spectrally Pruned Gaussian Fields with Neural Compensation

Paper • 2405.00676 • Published May 1, 2024 • 10
Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Paper • 2404.18212 • Published Apr 28, 2024 • 29
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29, 2024 • 121

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

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 • 14
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

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