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cs.CL2024
Dissecting Fine-Tuning Unlearning in Large Language Models
Yihuai Hong, Yuelin Zou, Lijie Hu +3
Fine-tuning-based unlearning methods prevail for preventing targeted harmful, sensitive, or copyrighted information within large language models while preserving overall capabiliti…
cs.CL2024★ 1 cited
Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines
Kangtong Mo, Wenyan Liu, Xuanzhen Xu +3
In this study, we explore the application of sentiment analysis on financial news headlines to understand investor sentiment. By leveraging Natural Language Processing (NLP) and La…