TaskBench: Benchmarking Large Language Models for Task Automation
【DL輪読会】TaskBench: Benchmarking Large Language Models for Task Automation by @DeepLear more
カテゴリー: dls-2025
Learning to Reason without External Rewards
【DL輪読会】Learning to Reason without External Rewards by @DeepLearning2023
VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Yang+CVPR’25]
【DL輪読会】VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Ya more
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
【DL輪読会】Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked more
Novelty Detection in Reinforcement Learning withWorld Models
【DL輪読会】Novelty Detection in Reinforcement Learning with World Models by @DeepLearning more
Programmatic Video Prediction Using Large Language Models
【DL輪読会】Programmatic Video Prediction Using Large Language Models by @DeepLearning2023
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
【DL輪読会】 WoMAP: World Models For Embodied Open-Vocabulary Object Localization by @Deep more
Unified Vision-Language-Action Models (arXiv, 2025)
【DL輪読会】Unified Vision-Language-Action Models (arXiv, 2025) by @DeepLearning2023
From Foresight to Forethought: VLM-In-The-Loop Policy Steering via Latent Alignment
【DL輪読会】From Foresight to Forethought: VLM-In-The-Loop Policy Steering via Latent Alig more
SAFECHAIN: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
【DL輪読会】 SAFECHAIN: Safety of Language Models with Long Chain-of-Thought Reasoning Cap more