Jiayuan Liu 刘嘉源

Jiayuan Liu 刘嘉源

Ph.D. student in Computer Science, Carnegie Mellon University.

Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models

Jiayuan Liu, Barry Wang, Jiarui Gan, Tonghan Wang, Leon Xie, Mingyu Guo, Vincent Conitzer
Published in the third Conference on Language Modeling (COLM), 2026

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Why Search When You Can Transfer? Amortized Agentic Workflow Design from Structural Priors

Shiyi Du, Jiayuan Liu, Weihua Du, Yue Huang, Jiayi Li, Yingtao Luo, Xiangliang Zhang, Vincent Conitzer, Carl Kingsford
Published in the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026

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The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration

Jiayuan Liu, Shiyi Du, Weihua Du, Mingyu Guo, Vincent Conitzer
Manuscript, 2026

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The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents

Jiayuan Liu*, Tianqin Li*, Shiyi Du*, Xin Luo*, Haoxuan Zeng, Emanuel Tewolde, Tai Sing Lee, Tonghan Wang, Carl Kingsford, Vincent Conitzer
Manuscript, 2026

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How Many Votes Is a Lie Worth? Measuring Strategyproofness through Resource Augmentation

(α-β) Ratip Emin Berker, Vincent Conitzer, Eden Hartman, Jiayuan Liu, Caspar Oesterheld
Published in the eighth Games, Agents, and Incentives Workshop at AAMAS, 2026

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Truthful and Cost-Minimizing Model Routing in Graph-Based Agentic Workflows

Jiayuan Liu, Mingyu Guo, Jiarui Gan, Vincent Conitzer
Manuscript, 2025

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Humanity’s Last Exam

Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Chen Bo Calvin Zhang, et al., 2025

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An Interpretable Automated Mechanism Design Framework with Large Language Models

Jiayuan Liu, Mingyu Guo, Vincent Conitzer
EC 2025 Workshop on Information Economics x LLMs, 2025

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Policy Gradient Algorithm for Multi-armed Bandits Robust to Adversarial Corruptions

Jiayuan Liu, Siwei Wang, Zhixuan Fang
Published in the twenty-fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , 2025

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Extending Myerson’s Optimal Auctions to Correlated Bidders via Neural Network Interpolation

Mingyu Guo, Jiayuan Liu, Vincent Conitzer
Published in the eighth International Conference on Algorithmic Decision Theory (ADT) , 2024

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Cost-Efficient Information Aggregation in Hierarchical Information Structure

Jiayuan Liu, Shuran Zheng, Yiling Chen
Manuscript, 2023

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Low-Rank Modular Reinforcement Learning via Muscle Synergy

Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Published in the thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022

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Real-Time Recursive Routing in Payment Channel Network: A Bidding-based Design

Jiayuan Liu, Canhui Chen, Lulu Zhou, Zhixuan Fang
Published in the twentieth International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2022

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Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL

Heng Dong, Tonghan Wang, Jiayuan Liu, Chi Han, Chongjie Zhang
Manuscript, 2022

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