Summary of Data Distribution Valuation, by Xinyi Xu et al.
Data Distribution Valuationby Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia FantiFirst…
Summary of Geometric Analysis Of Reasoning Trajectories: a Phase Space Approach to Understanding Valid and Invalid Multi-hop Reasoning in Llms, by Javier Marin
Geometric Analysis of Reasoning Trajectories: A Phase Space Approach to Understanding Valid and Invalid Multi-Hop…
Summary of Disentangling Regional Primitives For Image Generation, by Zhengting Chen et al.
Disentangling Regional Primitives for Image Generationby Zhengting Chen, Lei Cheng, Lianghui Ding, Quanshi ZhangFirst submitted…
Summary of Attention Shift: Steering Ai Away From Unsafe Content, by Shivank Garg and Manyana Tiwari
Attention Shift: Steering AI Away from Unsafe Contentby Shivank Garg, Manyana TiwariFirst submitted to arxiv…
Summary of Timebridge: Non-stationarity Matters For Long-term Time Series Forecasting, by Peiyuan Liu et al.
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecastingby Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi…
Summary of An Attention-based Algorithm For Gravity Adaptation Zone Calibration, by Chen Yu
An Attention-Based Algorithm for Gravity Adaptation Zone Calibrationby Chen YuFirst submitted to arxiv on: 6…
Summary of A Comprehensive Framework For Analyzing the Convergence Of Adam: Bridging the Gap with Sgd, by Ruinan Jin et al.
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGDby Ruinan…
Summary of Improved Off-policy Reinforcement Learning in Biological Sequence Design, by Hyeonah Kim et al.
Improved Off-policy Reinforcement Learning in Biological Sequence Designby Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok…
Summary of Revisiting In-context Learning Inference Circuit in Large Language Models, by Hakaze Cho et al.
Revisiting In-context Learning Inference Circuit in Large Language Modelsby Hakaze Cho, Mariko Kato, Yoshihiro Sakai,…
Summary of Tensor-train Point Cloud Compression and Efficient Approximate Nearest-neighbor Search, by Georgii Novikov et al.
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Searchby Georgii Novikov, Alexander Gneushev, Alexey Kadeishvili,…