Article

Papers

Agent Evaluation

  1. 1.Li, X.*, Liu, Y.*, Chen, W.*, You, B.* et al. SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks. In NeurIPS (2026); preprint at arXiv:2602.12670.
  2. 2.Li, X.*, Choe, K. W.*, Liu, Y., Chen, X., Tao, C., You, B. et al. ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces. In COLM (2026); preprint at arXiv:2604.05172.
  3. 3.Zheng, S., Di, Z., Liu, Y., …, You, B. et al. BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure. Preprint at arXiv:2609.11028 (2026).

Experimental AMO Physics

  1. 4.Xu, S.*, Xia, X.*, Yu, Q., Parakh, A., Khan, S., Megidish, E., You, B. et al. 3D-printed micro ion trap technology for quantum information applications. Nature 645, 362–368 (2025).
  2. 5.Broz, J., You, B., Khan, S., Häffner, H., Kaplan, D. E. & Rajendran, S. Test of Causal Nonlinear Quantum Mechanics by Ramsey Interferometry with a Trapped Ion. Phys. Rev. Lett. 130, 200201 (2023).
  3. 6.You, B.*, Wu, Q.*, Miron, D., Ke, W., Monga, I., Saglamyurek, E. & Haeffner, H. Temporally multiplexed ion-photon quantum interface via fast ion-chain transport. Phys. Rev. Appl. 26, 014101 (2026).
  4. 7.Momenzadeh, M., Sun, K., Wu, Q., You, B., Tang, Y.-L., Häffner, H. & Shcherbakov, M. R. Individual trapped-ion addressing with adjoint-optimized multimode photonic circuits. npj Nanophotonics 3, 3 (2026).
  5. 8.Klawson, D.*, Zhi, Y.*, You, B.*, Bareian, M.*, Mossman, E.* et al. A broadband, individually addressing two- and three-dimensional photonic integrated circuit for trapped-ion qubit control. Preprint at arXiv:2607.25062 (2026).