Summary of Representation Learning with Conditional Information Flow Maximization, by Dou Hu et al.
Representation Learning with Conditional Information Flow Maximizationby Dou Hu, Lingwei Wei, Wei Zhou, Songlin HuFirst…
Representation Learning with Conditional Information Flow Maximizationby Dou Hu, Lingwei Wei, Wei Zhou, Songlin HuFirst…
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humansby Yusuke…
MultiMax: Sparse and Multi-Modal Attention Learningby Yuxuan Zhou, Mario Fritz, Margret KeuperFirst submitted to arxiv…
Fast yet Safe: Early-Exiting with Risk Controlby Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar…
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningby Costas Mavromatis, George KarypisFirst submitted to…
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Designby Markus J. BuehlerFirst submitted to…
BOLD: Boolean Logic Deep Learningby Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien…
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptationby Abhinav Jain, Swarat Chaudhuri,…
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Modelsby Wei Huang, Haotong Qin, Yangdong Liu, Yawei…
MSNER: A Multilingual Speech Dataset for Named Entity Recognitionby Quentin Meeus, Marie-Francine Moens, Hugo Van…