2 papers
cs.LG2026
Mixture of Complementary Agents for Robust LLM Ensemble
Yichi Zhang, Kevin Lu, Yuang Zhang +3
Multi-AI collaboration, such as ensembling or debating large language models (LLMs), is a promising paradigm for aggregating information and boosting performance. A foundational st…
cs.GT2026
Optimally Auditing Adversarial Agents
Sanmay Das, Fang-Yi Yu, Yuang Zhang
Fraud can pose a challenge in many resource allocation domains, including social service delivery and credit provision. For example, agents may misreport private information in ord…