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Collections including paper arxiv:2509.18824

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
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

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

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Paper • 2504.02821 • Published Apr 3 • 9
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Paper • 2504.17343 • Published Apr 24 • 12
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting

Paper • 2504.15921 • Published Apr 22 • 7
Causal-Copilot: An Autonomous Causal Analysis Agent

Paper • 2504.13263 • Published Apr 17 • 7

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

paper seminar_251001

Reconstruction Alignment Improves Unified Multimodal Models

Paper • 2509.07295 • Published Sep 8 • 40
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Paper • 2509.06951 • Published Sep 8 • 31
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Paper • 2509.06818 • Published Sep 8 • 29
Interleaving Reasoning for Better Text-to-Image Generation

Paper • 2509.06945 • Published Sep 8 • 14

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 249 • 96
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

Interesting new techniques

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2, 2024 • 68
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU

Paper • 2403.06504 • Published Mar 11, 2024 • 55
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs

Paper • 2403.20041 • Published Mar 29, 2024 • 34

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
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

paper seminar_251001

Reconstruction Alignment Improves Unified Multimodal Models

Paper • 2509.07295 • Published Sep 8 • 40
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Paper • 2509.06951 • Published Sep 8 • 31
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Paper • 2509.06818 • Published Sep 8 • 29
Interleaving Reasoning for Better Text-to-Image Generation

Paper • 2509.06945 • Published Sep 8 • 14

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 • 249 • 96
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

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Paper • 2504.02821 • Published Apr 3 • 9
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Paper • 2504.17343 • Published Apr 24 • 12
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting

Paper • 2504.15921 • Published Apr 22 • 7
Causal-Copilot: An Autonomous Causal Analysis Agent

Paper • 2504.13263 • Published Apr 17 • 7

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

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

Interesting new techniques

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2, 2024 • 68
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23, 2024 • 86
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU

Paper • 2403.06504 • Published Mar 11, 2024 • 55
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs

Paper • 2403.20041 • Published Mar 29, 2024 • 34

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