4 papers
Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition
Danielle Cohen, Yoni Halpern, Noam Kahlon +5
Understanding user intents from UI interaction trajectories remains a challenging, yet crucial, frontier in intelligent agent development. While massive, datacenter-based, multi-mo…
Agent-Initiated Interaction in Phone UI Automation
Noam Kahlon, Guy Rom, Anatoly Efros +6
Phone automation agents aim to autonomously perform a given natural-language user request, such as scheduling appointments or booking a hotel. While much research effort has been d…
Identifying User Goals from UI Trajectories
Omri Berkovitch, Sapir Caduri, Noam Kahlon +3
Identifying underlying user goals and intents has been recognized as valuable in various personalization-oriented settings, such as personalized agents, improved search responses,…
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom +4
While neural language models often perform surprisingly well on natural language understanding (NLU) tasks, their strengths and limitations remain poorly understood. Controlled syn…