Summary of Understanding Token Probability Encoding in Output Embeddings, by Hakaze Cho et al.
Understanding Token Probability Encoding in Output Embeddingsby Hakaze Cho, Yoshihiro Sakai, Kenshiro Tanaka, Mariko Kato,…
Summary of Continuous Geometry-aware Graph Diffusion Via Hyperbolic Neural Pde, by Jiaxu Liu et al.
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDEby Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu…
Summary of Embedding-aligned Language Models, by Guy Tennenholtz et al.
Embedding-Aligned Language Modelsby Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig BoutilierFirst…
Summary of Ovis: Structural Embedding Alignment For Multimodal Large Language Model, by Shiyin Lu et al.
Ovis: Structural Embedding Alignment for Multimodal Large Language Modelby Shiyin Lu, Yang Li, Qing-Guo Chen,…
Summary of Mteb-french: Resources For French Sentence Embedding Evaluation and Analysis, by Mathieu Ciancone et al.
MTEB-French: Resources for French Sentence Embedding Evaluation and Analysisby Mathieu Ciancone, Imene Kerboua, Marion Schaeffer,…
Summary of Slight Corruption in Pre-training Data Makes Better Diffusion Models, by Hao Chen et al.
Slight Corruption in Pre-training Data Makes Better Diffusion Modelsby Hao Chen, Yujin Han, Diganta Misra,…
Summary of Towards Deeper Understanding Of Ppr-based Embedding Approaches: a Topological Perspective, by Xingyi Zhang et al.
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspectiveby Xingyi Zhang, Zixuan Weng, Sibo…
Summary of Wttfnet: a Weather-time-trajectory Fusion Network For Pedestrian Trajectory Prediction in Urban Complex, by Ho Chun Wu et al.
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complexby Ho Chun Wu,…
Summary of Understanding Transformer Reasoning Capabilities Via Graph Algorithms, by Clayton Sanford et al.
Understanding Transformer Reasoning Capabilities via Graph Algorithmsby Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin,…
Summary of Potential Field Based Deep Metric Learning, by Shubhang Bhatnagar et al.
Potential Field Based Deep Metric Learningby Shubhang Bhatnagar, Narendra AhujaFirst submitted to arxiv on: 28…