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Collections including paper arxiv:2511.10647

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

Running on Zero

Featured

303

Depth Anything 3

🏢

303

Generate depth maps from images using GPU acceleration
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds

Paper • 2508.14879 • Published Aug 20 • 68
VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space

Paper • 2508.19247 • Published Aug 26 • 42
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Paper • 2508.17437 • Published Aug 20 • 37
Multi-View 3D Point Tracking

Paper • 2508.21060 • Published Aug 28 • 23

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models

Paper • 2511.18373 • Published 14 days ago • 5
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO

Paper • 2511.13288 • Published 20 days ago • 17
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens

Paper • 2511.19418 • Published 13 days ago • 26
SAM 3: Segment Anything with Concepts

Paper • 2511.16719 • Published 17 days ago • 107

Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist

Paper • 2511.08521 • Published 26 days ago • 37
Black-Box On-Policy Distillation of Large Language Models

Paper • 2511.10643 • Published 24 days ago • 46
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92
VGGT: Visual Geometry Grounded Transformer

Paper • 2503.11651 • Published Mar 14 • 34

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

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

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models

Paper • 2511.18373 • Published 14 days ago • 5
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO

Paper • 2511.13288 • Published 20 days ago • 17
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens

Paper • 2511.19418 • Published 13 days ago • 26
SAM 3: Segment Anything with Concepts

Paper • 2511.16719 • Published 17 days ago • 107

Running on Zero

Featured

303

Depth Anything 3

🏢

303

Generate depth maps from images using GPU acceleration
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92

UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist

Paper • 2511.08521 • Published 26 days ago • 37
Black-Box On-Policy Distillation of Large Language Models

Paper • 2511.10643 • Published 24 days ago • 46
Depth Anything 3: Recovering the Visual Space from Any Views

Paper • 2511.10647 • Published 24 days ago • 92
VGGT: Visual Geometry Grounded Transformer

Paper • 2503.11651 • Published Mar 14 • 34

MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds

Paper • 2508.14879 • Published Aug 20 • 68
VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space

Paper • 2508.19247 • Published Aug 26 • 42
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels

Paper • 2508.17437 • Published Aug 20 • 37
Multi-View 3D Point Tracking

Paper • 2508.21060 • Published Aug 28 • 23

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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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