Deep Researcher with Test-Time Diffusion
【DL輪読会】”Deep Researcher with Test-Time Diffusion” by @DeepLearning2023
投稿者: riyo.ono
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
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
Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses
【DL輪読会】Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defense more
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
【DL輪読会】Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs b more