1 citations · 1 across the 4 of their papers we have counts for
4 papers
LAP: An Agent-to-Instrument Protocol for Autonomous Science
Linwu Zhu, Liqiang Gao, Yan Chen +2
Autonomous science is moving from demonstration to infrastructure. Large language model agents now plan experiments, and self-driving laboratories execute them. Yet every such syst…
Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
Chun-Hao Yang, Bo-Han Feng, Tzu-Yuan Lai +4
Autoregressive language models are usually trained with next-token prediction under a fixed left-to-right target order. This paper studies target-token organization as a training-t…
WebRobot: Web Robotic Process Automation using Interactive Programming-by-Demonstration
Rui Dong, Zhicheng Huang, Ian Iong Lam +2
It is imperative to democratize robotic process automation (RPA), as RPA has become a main driver of the digital transformation but is still technically very demanding to construct…
Self-Adjusting Stack Machines
Matthew A. Hammer, Georg Neis, Yan Chen +1
Self-adjusting computation offers a language-based approach to writing programs that automatically respond to dynamically changing data. Recent work made significant progress in de…