Results 341 to 350 of about 6,654,090 (402)
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GMS Journal for Medical Education, 2016
In describing the inverted classroom model (ICM), the following paper is meant to provide an introduction to the subject matter and to serve as a practical guide for those wishing to employ its methods in basic and advanced medical training and education.
D. Tolks +11 more
semanticscholar +1 more source
In describing the inverted classroom model (ICM), the following paper is meant to provide an introduction to the subject matter and to serve as a practical guide for those wishing to employ its methods in basic and advanced medical training and education.
D. Tolks +11 more
semanticscholar +1 more source
Wan: Open and Advanced Large-Scale Video Generative Models
arXiv.orgThis report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries of video generation. Built upon the mainstream diffusion transformer paradigm, Wan achieves significant advancements in generative ...
Ang Wang +60 more
semanticscholar +1 more source
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
arXiv.orgEfficiently acquiring external knowledge and up-to-date information is essential for effective reasoning and text generation in large language models (LLMs).
Bowen Jin +5 more
semanticscholar +1 more source
Physics Today, 1959
Following the completion; The Institute of Mathematical Science.
openaire +1 more source
Following the completion; The Institute of Mathematical Science.
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Training Language Models to Reason Efficiently
arXiv.orgScaling model size and training data has led to great advances in the performance of Large Language Models (LLMs). However, the diminishing returns of this approach necessitate alternative methods to improve model capabilities, particularly in tasks ...
Daman Arora, Andrea Zanette
semanticscholar +1 more source
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
arXiv.orgWe present VAPO, Value-based Augmented Proximal Policy Optimization framework for reasoning models., a novel framework tailored for reasoning models within the value-based paradigm.
Yu Yue +26 more
semanticscholar +1 more source
Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k
arXiv.orgVideo generation models have achieved remarkable progress in the past year. The quality of AI video continues to improve, but at the cost of larger model size, increased data quantity, and greater demand for training compute.
Xiangyu Peng +31 more
semanticscholar +1 more source
Opportunities for advanced training
American Journal of Health-System Pharmacy, 2013Pharmacists who want advanced training in pharmacogenetics or pharmacogenomics can complete a postgraduate year 2 (PGY2) residency program specializing in the topic, suggested James M. Hoffman at St. Jude Children’s Research Hospital in Memphis. St. Jude Children’s offers such a program.
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SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Annual Meeting of the Association for Computational LinguisticsGraphical User Interface (GUI) agents are designed to automate complex tasks on digital devices, such as smartphones and desktops. Most existing GUI agents interact with the environment through extracted structured data, which can be notably lengthy (e.g.
Kanzhi Cheng +6 more
semanticscholar +1 more source
Training Large Language Models to Reason in a Continuous Latent Space
arXiv.orgLarge language models (LLMs) are typically constrained to reason in the language space, where they express the reasoning process through a chain-of-thought (CoT) to solve complex problems.
Shibo Hao +6 more
semanticscholar +1 more source

