Subtask-Aware Visual Reward Learning from Segmented Demonstrations
【DL輪読会】Subtask-Aware Visual Reward Learning from Segmented Demonstrations by @DeepLea more
投稿者: riyo.ono
Large Language Models With Contrastive Decoding
【DL輪読会】Large Language Models With Contrastive Decoding by @DeepLearning2023
TaskBench: Benchmarking Large Language Models for Task Automation
【DL輪読会】TaskBench: Benchmarking Large Language Models for Task Automation by @DeepLear more
Robust Function-Calling for On-Device Language Model via Function Masking
【DL輪読会】Robust Function-Calling for On-Device Language Model via Function Masking by @ more
Deep Researcher with Test-Time Diffusion
【DL輪読会】”Deep Researcher with Test-Time Diffusion” by @DeepLearning2023
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
【DL輪読会】 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and P more
Between Circuits and Chomsky: Pre- pretraining on Formal Languages Imparts Linguistic Bias
【DL輪読会】Between Circuits and Chomsky: Pre- pretraining on Formal Languages Imparts Lin 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
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