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Awesome ratios β curated papers, datasets & benchmarks Β· Awesome Large Language Models
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7 papers Β· trending (default)
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Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
(2026)
Chenlu Ye et al.
1.94
Stabilizing Reinforcement Learning for Diffusion Language Models
(2026)
Jianyuan Zhong et al.
1.78
Region-Adaptive Sampling for Diffusion Transformers
(2025)
Ziming Liu et al.
1.28
Should VLMs be Pre-trained with Image Data?
(2025)
Sedrick Keh et al.
1.28
Native-Resolution Image Synthesis
(2025)
Zidong Wang et al.
1.28
Fantastic Pretraining Optimizers and Where to Find Them
(2025)
Kaiyue Wen et al.
1.28
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
(2024)
Xiaoyi Dong et al.
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