6 papers
PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration
Shuyu Zhang, Yaqi Shi, Lu Wang
LLM multi-agent systems often coordinate through natural-language dialogue or loosely structured shared memory, making intermediate state difficult to validate, attribute, and audi…
EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter Adaptation
Shuyu Zhang, Lingfeng Pan, Qicheng Wang +6
Speculative decoding accelerates Large Language Model inference through draft-then-verify generation, yet lightweight draft models face coupled efficiency and quality limitations:…
DarwinTOD: LLM-driven Lifelong Self-evolution for Task-oriented Dialog Systems
Shuyu Zhang, Yujie Liu, Xinru Wang +3
Traditional task-oriented dialog systems are unable to evolve from ongoing interactions or adapt to new domains after deployment, that is a critical limitation in real-world dynami…
HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST
Shuyu Zhang, Yifan Wei, Xinru Wang +5
Zero-shot Dialog State Tracking (zs-DST) is essential for enabling Task-Oriented Dialog Systems (TODs) to generalize to new domains without costly data annotation. A central challe…
DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual-Systems
Shuyu Zhang, Yifan Wei, Jialuo Yuan +4
Task oriented dialog systems often rely on static exploration strategies that do not adapt to dynamic dialog contexts, leading to inefficient exploration and suboptimal performance…
"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles
Xuewen Luo, Fan Ding, Ruiqi Chen +3
Public distrust of self-driving cars is growing. Studies emphasize the need for interpreting the behavior of these vehicles to passengers to promote trust in autonomous systems. In…