Summary of Fine-grained Analysis Of In-context Linear Estimation: Data, Architecture, and Beyond, by Yingcong Li et al.
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyondby Yingcong Li, Ankit Singh Rawat,…
Summary of Aligning Diffusion Behaviors with Q-functions For Efficient Continuous Control, by Huayu Chen et al.
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Controlby Huayu Chen, Kaiwen Zheng, Hang Su,…
Summary of Simplifying Source-free Domain Adaptation For Object Detection: Effective Self-training Strategies and Performance Insights, by Yan Hao et al.
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insightsby Yan Hao,…
Summary of Mutual Information Calculation on Different Appearances, by Jiecheng Liao et al.
Mutual Information calculation on different appearancesby Jiecheng Liao, Junhao Lu, Jeff Ji, Jiacheng HeFirst submitted…
Summary of Copybench: Measuring Literal and Non-literal Reproduction Of Copyright-protected Text in Language Model Generation, by Tong Chen et al.
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generationby Tong Chen,…
Summary of Entropy Law: the Story Behind Data Compression and Llm Performance, by Mingjia Yin et al.
Entropy Law: The Story Behind Data Compression and LLM Performanceby Mingjia Yin, Chuhan Wu, Yufei…
Summary of 4d Contrastive Superflows Are Dense 3d Representation Learners, by Xiang Xu and Lingdong Kong and Hui Shuai and Wenwei Zhang and Liang Pan and Kai Chen and Ziwei Liu and Qingshan Liu
4D Contrastive Superflows are Dense 3D Representation Learnersby Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei…
Summary of Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis, by Stefan Horoi et al.
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysisby Stefan Horoi, Albert Manuel Orozco…
Summary of Enhance the Robustness Of Text-centric Multimodal Alignments, by Ting-yu Yen et al.
Enhance the Robustness of Text-Centric Multimodal Alignmentsby Ting-Yu Yen, Yun-Da Tsai, Keng-Te Liao, Shou-De LinFirst…
Summary of Mj-bench: Is Your Multimodal Reward Model Really a Good Judge For Text-to-image Generation?, by Zhaorun Chen et al.
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?by Zhaorun Chen,…