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…
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoningby Junchi Wang, Lei KeFirst submitted to…
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detectorby Andi Zhang, Tim Z.…
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussionsby Stefan…
Interactive Prompt Debugging with Sequence Salienceby Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk…
Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large…
Toward Cross-Layer Energy Optimizations in AI Systemsby Jae-Won Chung, Nishil Talati, Mosharaf ChowdhuryFirst submitted to…
Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysisby Baoxing Jiang, Yujie Wan,…
OmniFusion Technical Reportby Elizaveta Goncharova, Anton Razzhigaev, Matvey Mikhalchuk, Maxim Kurkin, Irina Abdullaeva, Matvey Skripkin,…
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Modelby Chao Gao, Sai Qian ZhangFirst submitted…