3 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
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…
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
Chang Zhou, Yang Zhao, Yuelin Zou +4
This paper proposes new methods to enhance click-through rate (CTR) prediction models using the Deep Interest Network (DIN) model, specifically applied to the advertising system of…
TD3 Based Collision Free Motion Planning for Robot Navigation
Hao Liu, Yi Shen, Chang Zhou +3
This paper addresses the challenge of collision-free motion planning in automated navigation within complex environments. Utilizing advancements in Deep Reinforcement Learning (DRL…
Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning
Hao Liu, Yi Shen, Wenjing Zhou +3
In order to solve the problem of frequent deceleration of unmanned vehicles when approaching obstacles, this article uses a Deep Q-Network (DQN) and its extension, the Double Deep…