Summary of Profuser: Progressive Fusion Of Large Language Models, by Tianyuan Shi et al.
ProFuser: Progressive Fusion of Large Language Modelsby Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan,…
ProFuser: Progressive Fusion of Large Language Modelsby Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan,…
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMsby Sohini Roychowdhury, Marko Krema,…
Accurate and Reliable Predictions with Mutual-Transport Ensembleby Han Liu, Peng Cui, Bingning Wang, Jun Zhu,…
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learningby Nisha L. Raichur, Lucas Heublein, Tobias Feigl,…
Convolution-based Probability Gradient Loss for Semantic Segmentationby Guohang Shan, Shuangcheng JiaFirst submitted to arxiv on:…
Semantic Is Enough: Only Semantic Information For NeRF Reconstructionby Ruibo Wang, Song Zhang, Ping Huang,…
Rethinking Loss Functions for Fact Verificationby Yuta Mukobara, Yutaro Shigeto, Masashi ShimboFirst submitted to arxiv…
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Imagesby Xikai…
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Councilby Luyang Luo, Xin Huang,…
Multi-Objective Large Language Model Unlearningby Zibin Pan, Shuwen Zhang, Yuesheng Zheng, Chi Li, Yuheng Cheng,…