3 citations · 3 across the 3 of their papers we have counts for
6 papers
Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
Jinhu Qi, Yifan Li, Minghao Zhao +4
Agentic AI systems increasingly act through tool-augmented, multi-step workflows whose failures (unsafe tool use, unauthorised actions, social harm) carry deployment-level conseque…
El Agente Cuantico: Automating quantum simulations
Ignacio Gustin, Luis Mantilla Calderón, Juan B. Pérez-Sánchez +8
Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. Yet it has barriers to access from both computational complexity and comp…
TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents
Zijian Zhang, Fangshi Du, Xingjian Liu +5
Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as docu…
TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Zijian Zhang, Pan Chen, Fangshi Du +4
Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a…
Agents for self-driving laboratories applied to quantum computing
Shuxiang Cao, Zijian Zhang, Mohammed Alghadeer +5
Fully automated self-driving laboratories are promising to enable high-throughput and large-scale scientific discovery by reducing repetitive labour. However, effective automation…
A theory of understanding for artificial intelligence: composability, catalysts, and learning
Zijian Zhang, Sara Aronowitz, Alán Aspuru-Guzik
Understanding is a crucial yet elusive concept in artificial intelligence (AI). This work proposes a framework for analyzing understanding based on the notion of composability. Giv…