2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.MA2026
CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs
Chelsea Zou, Yiheng Yao, Selena She +2
Personal AI assistants are beginning to act as delegates with access to calendars, inboxes, and user preferences. Calendar scheduling makes the trust problem concrete: an assistant…
cs.MA2026
Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
Yiheng Yao, Chelsea Zou, Robert D. Hawkins
Grounding is the collaborative process of establishing mutual belief sufficient for a communicative goal. While static grounding maps language to a shared context, dynamic groundin…
cs.AI2023★ 2 cited
Learning a Hierarchical Planner from Humans in Multiple Generations
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins +2
A typical way in which a machine acquires knowledge from humans is by programming. Compared to learning from demonstrations or experiences, programmatic learning allows the machine…