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10 件Fine-tuning Vision Transformers (ViTs) with low-rank adapters (LoRA) promises better communication efficiency
ディフュージョンモデルにおける初期的なNoise Seed の影響が、モデルが生成する高質のイメージに大きく影響していることを提示し、Seed Search 時の時間的負荷を削減するための方法を提案した。
Long-horizon tasks require sustained perception, reasoning, and exploration, and are a persistent challenge fo
In search and rescue operations, there is a period known as the "golden time" during which the probability of
Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, an
We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training
Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), h
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post
Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, en
Reinforcement learning (RL) has become a dominant paradigm for enhancing LLMs' reasoning capabilities. However