Summary of Wagle: Strategic Weight Attribution For Effective and Modular Unlearning in Large Language Models, by Jinghan Jia et al.
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Modelsby Jinghan Jia,…
Summary of Amusd: Asynchronous Multi-device Speculative Decoding For Llm Acceleration, by Bradley Mcdanel
AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Accelerationby Bradley McDanelFirst submitted to arxiv on: 22…
Summary of Literature Meets Data: a Synergistic Approach to Hypothesis Generation, by Haokun Liu et al.
Literature Meets Data: A Synergistic Approach to Hypothesis Generationby Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li,…
Summary of Pyramid Vector Quantization For Llms, by Tycho F. A. Van Der Ouderaa et al.
Pyramid Vector Quantization for LLMsby Tycho F. A. van der Ouderaa, Maximilian L. Croci, Agrin…
Summary of Beyond Retrieval: Generating Narratives in Conversational Recommender Systems, by Krishna Sayana et al.
Beyond Retrieval: Generating Narratives in Conversational Recommender Systemsby Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun…
Summary of Large Language Model-based Augmentation For Imbalanced Node Classification on Text-attributed Graphs, by Leyao Wang et al.
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphsby Leyao Wang, Yu Wang,…
Summary of Large Body Language Models, by Saif Punjwani and Larry Heck
Large Body Language Modelsby Saif Punjwani, Larry HeckFirst submitted to arxiv on: 21 Oct 2024CategoriesMain:…
Summary of Softsrv: Learn to Generate Targeted Synthetic Data, by Giulia Desalvo et al.
SoftSRV: Learn to Generate Targeted Synthetic Databy Giulia DeSalvo, Jean-Fracois Kagy, Lazaros Karydas, Afshin Rostamizadeh,…
Summary of Llm-based Optimization Of Compound Ai Systems: a Survey, by Matthieu Lin et al.
LLM-based Optimization of Compound AI Systems: A Surveyby Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi…
Summary of Rac: Efficient Llm Factuality Correction with Retrieval Augmentation, by Changmao Li and Jeffrey Flanigan
RAC: Efficient LLM Factuality Correction with Retrieval Augmentationby Changmao Li, Jeffrey FlaniganFirst submitted to arxiv…