3 citations · 3 across the 4 of their papers we have counts for
5 papers
Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking
Chenyu Zhang, Yiwen Liu, Yin Sun +4
Sales lead conversion in high-stakes domains (e.g., automotive, real estate) differs fundamentally from e-commerce recommendation due to prolonged decision cycles and multi-stage f…
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…
Understanding Semantics from Speech Through Pre-training
Pengwei Wang, Liangchen Wei, Yong Cao +3
End-to-end Spoken Language Understanding (SLU) is proposed to infer the semantic meaning directly from audio features without intermediate text representation. Although the acousti…