A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
Learn how Tongyi DeepResearch combines cutting-edge reasoning and open-source flexibility to transform advanced research workflows.
The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
Abstract: Quantum reinforcement learning utilizes quantum layers to process information within a machine learning model. However, both pure and hybrid quantum reinforcement learning face challenges ...
Abstract: In the context of the continuous increase of new things, zero-shot learning (ZSL) has been proposed to reduce recognition costs, with the goal of classifying or predicting new classes that ...