Summary of Parameter-efficient Tuning Large Language Models For Graph Representation Learning, by Qi Zhu et al.
Parameter-Efficient Tuning Large Language Models for Graph Representation Learningby Qi Zhu, Da Zheng, Xiang Song,…
Summary of Implementation Of Big Ai Models For Wireless Networks with Collaborative Edge Computing, by Liekang Zeng et al.
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computingby Liekang Zeng, Shengyuan…
Summary of Continual Learning Of Large Language Models: a Comprehensive Survey, by Haizhou Shi and Zihao Xu and Hengyi Wang and Weiyi Qin and Wenyuan Wang and Yibin Wang and Zifeng Wang and Sayna Ebrahimi and Hao Wang
Continual Learning of Large Language Models: A Comprehensive Surveyby Haizhou Shi, Zihao Xu, Hengyi Wang,…
Summary of Probabilistic Multi-layer Perceptrons For Wind Farm Condition Monitoring, by Filippo Fiocchi et al.
Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoringby Filippo Fiocchi, Domna Ladopoulou, Petros DellaportasFirst submitted…
Summary of Corm: Cache Optimization with Recent Message For Large Language Model Inference, by Jincheng Dai et al.
CORM: Cache Optimization with Recent Message for Large Language Model Inferenceby Jincheng Dai, Zhuowei Huang,…
Summary of Fl-tac: Enhanced Fine-tuning in Federated Learning Via Low-rank, Task-specific Adapter Clustering, by Siqi Ping et al.
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clusteringby Siqi Ping, Yuzhu Mao,…
Summary of Core-behrt: a Carefully Optimized and Rigorously Evaluated Behrt, by Mikkel Odgaard et al.
CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRTby Mikkel Odgaard, Kiril Vadimovic Klein, Sanne Møller…
Summary of Xft: Unlocking the Power Of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-experts, By Yifeng Ding et al.
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Expertsby Yifeng Ding,…
Summary of Aligning Llm Agents by Learning Latent Preference From User Edits, By Ge Gao et al.
Aligning LLM Agents by Learning Latent Preference from User Editsby Ge Gao, Alexey Taymanov, Eduardo…
Summary of Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks, by Zhe Zhao et al.
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networksby Zhe Zhao, Pengkun Wang, Xu Wang,…