Summary of Personalized Collaborative Fine-tuning For On-device Large Language Models, by Nicolas Wagner et al.
Personalized Collaborative Fine-Tuning for On-Device Large Language Modelsby Nicolas Wagner, Dongyang Fan, Martin JaggiFirst submitted…
Personalized Collaborative Fine-Tuning for On-Device Large Language Modelsby Nicolas Wagner, Dongyang Fan, Martin JaggiFirst submitted…
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representationby Artur Kiulian,…
Foundational GPT Model for MEGby Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark…
TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioningby Quang Minh Dinh, Minh Khoi…
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large…
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and…
CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph Reasoningby Zukang Yang, Zixuan Zhu, Xuan…
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Modelsby Donghyun Lee, Je-Yong Lee, Genghan Zhang,…
Detecting AI-Generated Images via CLIPby A.G. Moskowitz, T. Gaona, J. PetersonFirst submitted to arxiv on:…
BERT-LSH: Reducing Absolute Compute For Attentionby Zezheng Li, Kingston YipFirst submitted to arxiv on: 12…