Summary of Learning General-purpose Biomedical Volume Representations Using Randomized Synthesis, by Neel Dey et al.
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesisby Neel Dey, Benjamin Billot, Hallee E. Wong,…
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesisby Neel Dey, Benjamin Billot, Hallee E. Wong,…
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoningby Md Rifat Arefin, Gopeshh Subbaraj,…
Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitionsby Ethan Baron, Victor Hau, Zeke WengFirst submitted…
“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantizationby Eldar Kurtic, Alexandre…
Linear Causal Bandits: Unknown Graph and Soft Interventionsby Zirui Yan, Ali TajerFirst submitted to arxiv…
Adaptive Length Image Tokenization via Recurrent Allocationby Shivam Duggal, Phillip Isola, Antonio Torralba, William T.…
Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languagesby Hoang H Nguyen, Khyati Mahajan,…
Generative Emotion Cause Explanation in Multimodal Conversationsby Lin Wang, Xiaocui Yang, Shi Feng, Daling Wang,…
Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Modelsby Xinyi Leng, Jason…
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learningby Haoliang Wang, Chen Zhao, Feng…