Summary of Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach, by Taro Togo et al.
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approachby Taro Togo, Ren Togo, Keisuke…
Summary of Malbert: Is a Compact Multilingual Bert Model Still Worth It?, by Christophe Servan (iles et al.
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?by Christophe Servan, Sahar Ghannay, Sophie…
Summary of Lc-llm: Explainable Lane-change Intention and Trajectory Predictions with Large Language Models, by Mingxing Peng et al.
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Modelsby Mingxing Peng, Xusen Guo,…
Summary of Improving Attributed Text Generation Of Large Language Models Via Preference Learning, by Dongfang Li et al.
Improving Attributed Text Generation of Large Language Models via Preference Learningby Dongfang Li, Zetian Sun,…
Summary of Ftbc: Forward Temporal Bias Correction For Optimizing Ann-snn Conversion, by Xiaofeng Wu et al.
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversionby Xiaofeng Wu, Velibor Bojkovic, Bin Gu,…
Summary of Leveraging Large Language Models For Relevance Judgments in Legal Case Retrieval, by Shengjie Ma et al.
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrievalby Shengjie Ma, Chong Chen,…
Summary of A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels Is Critical For Semi-supervised Classification, by Jiaqi Wu et al.
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classificationby Jiaqi Wu, Junbiao…
Summary of A Path Towards Legal Autonomy: An Interoperable and Explainable Approach to Extracting, Transforming, Loading and Computing Legal Information Using Large Language Models, Expert Systems and Bayesian Networks, by Axel Constant et al.
A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and…
Summary of Density-guided Translator Boosts Synthetic-to-real Unsupervised Domain Adaptive Segmentation Of 3d Point Clouds, by Zhimin Yuan et al.
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Cloudsby Zhimin Yuan, Wankang…
Summary of Biomedlm: a 2.7b Parameter Language Model Trained on Biomedical Text, by Elliot Bolton et al.
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Textby Elliot Bolton, Abhinav Venigalla, Michihiro…