3 papers
cs.IR2026
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
Lingfeng Liu, Yixin Song, Dazhong Shen +4
Popularity bias fundamentally undermines the personalization capabilities of collaborative filtering (CF) models, causing them to disproportionately recommend popular items while n…
cs.LG2026
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space
Cheng Yan, Wuyang Zhang, Zhiyuan Ning +5
The rapid proliferation of Large Language Models (LLMs) has led to a fragmented and inefficient ecosystem, a state of ``model lock-in'' where seamlessly integrating novel models re…
cs.CL2025
TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting
Jiaming Leng, Yunying Bi, Chuan Qin +3
Urban transportation systems encounter diverse challenges across multiple tasks, such as traffic forecasting, electric vehicle (EV) charging demand prediction, and taxi dispatch. E…