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Collections including paper arxiv:2508.18032

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

about 21 hours ago

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

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 255 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Qwen2.5-Omni Technical Report

Paper • 2503.20215 • Published Mar 26 • 166
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28 • 46
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29 • 22
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Paper • 2505.21523 • Published May 23 • 13

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

Paper • 2507.21809 • Published Jul 29 • 132
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion

Paper • 2507.06165 • Published Jul 8 • 58
DINOv3

Paper • 2508.10104 • Published Aug 13 • 281
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4 • 261

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5 • 57
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2 • 7

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.71k • 1.22k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 111 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Graph insights with Ai and LLM

ControlLLM: Augment Language Models with Tools by Searching on Graphs

Paper • 2310.17796 • Published Oct 26, 2023 • 18
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster

Paper • 2311.08263 • Published Nov 14, 2023 • 16
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 124
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7 • 8

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

Paper • 2507.21809 • Published Jul 29 • 132
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion

Paper • 2507.06165 • Published Jul 8 • 58
DINOv3

Paper • 2508.10104 • Published Aug 13 • 281
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4 • 261

about 21 hours ago

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

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Paper • 2508.03501 • Published Aug 5 • 57
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Paper • 2508.04700 • Published Aug 6 • 52
RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

Paper • 2508.01415 • Published Aug 2 • 7

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 255 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.71k • 1.22k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 111 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Qwen2.5-Omni Technical Report

Paper • 2503.20215 • Published Mar 26 • 166
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO

Paper • 2505.22453 • Published May 28 • 46
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning

Paper • 2505.23380 • Published May 29 • 22
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Paper • 2505.21523 • Published May 23 • 13

Graph insights with Ai and LLM

ControlLLM: Augment Language Models with Tools by Searching on Graphs

Paper • 2310.17796 • Published Oct 26, 2023 • 18
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster

Paper • 2311.08263 • Published Nov 14, 2023 • 16
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 124
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7 • 8

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