10 papers
Proactive Service Agents: A Unified Decision Framework, Methods, and Evaluation
Yan Tang, Tingyu Cao, Yuanbo Tang +2
Large language model agents can plan, invoke tools, and modify external states, yet most systems still take an explicit user instruction as a fixed starting point. Proactive servic…
Multi-level context Modeling for consistent expert selection in Mixture-of-Experts
Shuhan Huang, Naifan Zhang, Yuanbo Tang +2
Mixture-of-Experts (MoE) enables efficient scaling of Transformer models by routing tokens to a small subset of experts. However, existing routers typically condition expert select…
On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
Zihui Zhao, Yuanbo Tang, Yang Li
Dictionary learning has long been studied from both optimization and probabilistic perspectives. While formulations with element-wise sparsity regularization (e.g., L1-based sparse…
Toward Temporal Realism in City-Scale Crisis Response Simulation using LLM Agents
Anping Zhang, Yang Tan, Yuanbo Tang +4
Human collective participation is rarely steady in time: it is bursty, with short episodes of intense activity separated by long quiet intervals. In crisis response and community m…
Sparse Compositional Flow Matching by geometric assembly from motion primitives
Yan Tang, Yuanbo Tang, Tingyu Cao +2
Embodied trajectories, such as the executable motion sequences of robotic manipulators, underwater vehicles, and mobile robots, are a fundamental output of embodied AI. Modern gene…
ProAgentBench: Evaluating LLM Agents for Proactive Assistance with Real-World Data
Yuanbo Tang, Huaze Tang, Tingyu Cao +6
Proactive agents that anticipate user intentions without explicit prompts represent a significant evolution in human-AI interaction, promising to reduce cognitive load and streamli…
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Yuanbo Tang, Yan Tang, Zixuan Zhang +2
Trajectory generation has recently drawn growing interest in privacy-preserving urban mobility studies and location-based service applications. Although many studies have used deep…
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Zihui Zhao, Yuanbo Tang, Jieyu Ren +2
Dictionary learning is traditionally formulated as an -regularized signal reconstruction problem. While recent developments have incorporated discriminative, hierarchical, or…
Dy-mer: An Explainable DNA Sequence Representation Scheme using Dictionary Learning
Zhiyuan Peng, Naifan Zhang, Yuanbo Tang +1
DNA sequences encode critical genetic information, yet their variable length and discrete nature impede direct utilization in deep learning models. Existing DNA representation sche…
Explainable Trajectory Representation through Dictionary Learning
Yuanbo Tang, Zhiyuan Peng, Yang Li
Trajectory representation learning on a network enhances our understanding of vehicular traffic patterns and benefits numerous downstream applications. Existing approaches using cl…