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Collections including paper arxiv:2511.15605

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

Vision Language Action models

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Paper • 2507.01925 • Published Jul 2, 2025 • 39
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning

Paper • 2507.16746 • Published Jul 22, 2025 • 35
MolmoAct: Action Reasoning Models that can Reason in Space

Paper • 2508.07917 • Published Aug 11, 2025 • 44
Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies

Paper • 2508.20072 • Published Aug 27, 2025 • 31

about 10 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
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 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models

Paper • 2511.15605 • Published Nov 19, 2025 • 23
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1, 2025 • 65

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 225 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

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

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models

Paper • 2511.15605 • Published Nov 19, 2025 • 23
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1, 2025 • 65

Vision Language Action models

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Paper • 2507.01925 • Published Jul 2, 2025 • 39
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning

Paper • 2507.16746 • Published Jul 22, 2025 • 35
MolmoAct: Action Reasoning Models that can Reason in Space

Paper • 2508.07917 • Published Aug 11, 2025 • 44
Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies

Paper • 2508.20072 • Published Aug 27, 2025 • 31

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 225 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

about 10 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
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 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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