Summary of The Ai Scientist: Towards Fully Automated Open-ended Scientific Discovery, by Chris Lu et al.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoveryby Chris Lu, Cong Lu, Robert Tjarko…
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoveryby Chris Lu, Cong Lu, Robert Tjarko…
Sampling Foundational Transformer: A Theoretical Perspectiveby Viet Anh Nguyen, Minh Lenhat, Khoa Nguyen, Duong Duc…
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Modeling Multi-Step Scientific Processes with Graph Transformer Networksby Amanda A. Volk, Robert W. Epps, Jeffrey…
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Frameworkby Kexin Zhang, Lixin Li, Wensheng Lin,…
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regressionby…
Transformer Explainer: Interactive Learning of Text-Generative Modelsby Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec…
Distinguishing Chatbot from Humanby Gauri Anil Godghase, Rishit Agrawal, Tanush Obili, Mark StampFirst submitted to…
Scalable Transformer for High Dimensional Multivariate Time Series Forecastingby Xin Zhou, Weiqing Wang, Wray Buntine,…