Summary of Quantifying In-context Reasoning Effects and Memorization Effects in Llms, by Siyu Lou et al.
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMsby Siyu Lou, Yuntian Chen, Xiaodan Liang,…
Summary of Generative Artificial Intelligence: a Systematic Review and Applications, by Sandeep Singh Sengar et al.
Generative Artificial Intelligence: A Systematic Review and Applicationsby Sandeep Singh Sengar, Affan Bin Hasan, Sanjay…
Summary of Simultaneous Masking, Not Prompting Optimization: a Paradigm Shift in Fine-tuning Llms For Simultaneous Translation, by Matthew Raffel et al.
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translationby Matthew…
Summary of Response Matching For Generating Materials and Molecules, by Bingqing Cheng
Response Matching for generating materials and moleculesby Bingqing ChengFirst submitted to arxiv on: 15 May…
Summary of What Is It For a Machine Learning Model to Have a Capability?, by Jacqueline Harding et al.
What is it for a Machine Learning Model to Have a Capability?by Jacqueline Harding, Nathaniel…
Summary of Improving Transformers with Dynamically Composable Multi-head Attention, by Da Xiao et al.
Improving Transformers with Dynamically Composable Multi-Head Attentionby Da Xiao, Qingye Meng, Shengping Li, Xingyuan YuanFirst…
Summary of Rothp: Rotary Position Embedding-based Transformer Hawkes Process, by Anningzhe Gao et al.
RoTHP: Rotary Position Embedding-based Transformer Hawkes Processby Anningzhe Gao, Shan DaiFirst submitted to arxiv on:…
Summary of Ensuring Uav Safety: a Vision-only and Real-time Framework For Collision Avoidance Through Object Detection, Tracking, and Distance Estimation, by Vasileios Karampinis et al.
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking,…
Summary of Distilling Diffusion Models Into Conditional Gans, by Minguk Kang et al.
Distilling Diffusion Models into Conditional GANsby Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha…
Summary of Conv-basis: a New Paradigm For Efficient Attention Inference and Gradient Computation in Transformers, by Yingyu Liang et al.
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformersby Yingyu Liang,…