4 papers
NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation
Yuxin Yang, Haoran Zhang, Mingxuan Li +6
Parameter-Efficient Fine-Tuning (PEFT) techniques, particularly Low-Rank Adaptation (LoRA), have become essential for adapting Large Language Models (LLMs) to downstream tasks. Whi…
Balancing Rewards in Text Summarization: Multi-Objective Reinforcement Learning via HyperVolume Optimization
Junjie Song, Yiwen Liu, Dapeng Li +4
Text summarization is a crucial task that requires the simultaneous optimization of multiple objectives, including consistency, coherence, relevance, and fluency, which presents co…
asLLR: LLM based Leads Ranking in Auto Sales
Yin Sun, Yiwen Liu, Junjie Song +5
In the area of commercial auto sales system, high-quality lead score sequencing determines the priority of a sale's work and is essential for optimizing the efficiency of the sales…
MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
Yiwen Liu, Chenyu Zhang, Junjie Song +6
As a prominent data modality task, time series forecasting plays a pivotal role in diverse applications. With the remarkable advancements in Large Language Models (LLMs), the adopt…