Jiang, Yanchen
Bibliographic References tagged with Jiang, Yanchen
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A. Shah et al.,
“Learning from synthetic labs: Language models as auction participants”, arXiv preprint arXiv:2507.09083 , 2025.
A. Shah et al.,
“Learning from synthetic labs: Language models as auction participants”, arXiv preprint arXiv:2507.09083 , 2025.
T. Wang, Y. Pan, X. Yang, Y. Jiang, M. Tambe, and D. C. Parkes,
“LLM Active Alignment: A Nash Equilibrium Perspective”, arXiv preprint arXiv:2602.06836, 2026.
T. Wang, Y. Pan, X. Yang, Y. Jiang, M. Tambe, and D. C. Parkes,
“LLM Active Alignment: A Nash Equilibrium Perspective”, arXiv preprint arXiv:2602.06836, 2026.
Y. Jiang, D. C. Parkes, and T. Wang,
“Duality for optimal multi-item, multi-bidder auction design: Revenue certificates through deep learning”, Proc. 27th ACM Conf on Economics and Computation (EC’26), 2026.
Y. Jiang, D. C. Parkes, and T. Wang,
“Duality for optimal multi-item, multi-bidder auction design: Revenue certificates through deep learning”, Proc. 27th ACM Conf on Economics and Computation (EC’26), 2026.
T. Wang, Y. Jiang, and D. Parkes,
T. Wang, Y. Jiang, and D. Parkes,