5 papers
Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness
Songyuan Sui, Zhen Tan, Mohan Zhang +3
Missing modality remains a longstanding challenge in multimodal learning. Existing methods typically address this issue through modality recovery or adaptive strategies. However, t…
Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation
Songyuan Sui, Srikanth Malla, Chiho Choi +1
Personalized large language models often require a complete adaptation state for each user. However, this paradigm scales poorly as the user population grows. We revisit this desig…
CAST: Context- and Anomaly Structure-Conditioned Time Series Anomaly Generation
Haochen Zhang, Jie Peng, Songyuan Sui +3
Anomalous time series play a critical role in safety-critical domains, yet they are inherently scarce, heterogeneous, and costly to obtain. Existing time series generation methods…
Training-Free Time Series Classification via In-Context Reasoning with LLM Agents
Songyuan Sui, Zihang Xu, Xia Hu
Time series classification (TSC) spans diverse application scenarios, yet labeled data are often scarce, making task-specific training costly and inflexible. Recent reasoning-orien…
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
Songyuan Sui, Hongyi Liu, Serena Liu +4
Table understanding requires structured, multi-step reasoning. Large Language Models (LLMs) struggle with it due to the structural complexity of tabular data. Recently, multi-agent…