2 papers
cs.CL2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
Zhuojun Ding, Wei Wei, Chenghao Fan
Supervised fine-tuning (SFT) is widely used to align large language models (LLMs) with information extraction (IE) tasks, such as named entity recognition (NER). However, annotatin…
cs.CV2024
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +6
Personalization has emerged as a prominent aspect within the field of generative AI, enabling the synthesis of individuals in diverse contexts and styles, while retaining high-fide…