カテゴリー: papers
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
【DL輪読会】Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision by @D more
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Mode
【DL輪読会】SceneScript: Reconstructing Scenes With An Autoregressive Structured Language more
MoAI: Mixture ofAll Intelligence for Large Language andVision Models
【DL輪読会】MoAI: Mixture ofAll Intelligence for Large Language andVision Models by @DeepL more
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
【DL輪読会】Understanding In-Context Learning in Transformers and LLMs by Learning to Lear more
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds (1) by @DeepLearning2023
Evolutionary Optimization of Model Merging Recipes モデルマージの進化的最適化
【DL輪読会】Evolutionary Optimization of Model Merging Recipes モデルマージの進化的最適化 by @DeepLearn more
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
【DL輪読会】FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic more
PRE-TRAINING GOAL-BASED MODELS FOR SAMPLE-EFFICIENT REINFORCEMENT LEARNING
【DL輪読会】PRE-TRAINING GOAL-BASED MODELS FOR SAMPLE-EFFICIENT REINFORCEMENT LEARNING by more
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
【DL輪読会】MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training by @Dee more