USTC-AGI Research Group
USTC-AGI Research Group
动态发布
师生成员
研究方向
论文列表
开源项目
系统研发
代码仓库
Shijin Wang
最新
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
Re^3: Relevance & Recency Retrieval for Mitigating Temporal Hallucination
Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
am-ELO: A Stable Framework for Arena-based LLM Evaluation
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
引用
×