4 citations · 5 across the 5 of their papers we have counts for
5 papers
Thomson: Continual Learning of Frontier Models for SovereignAI
Shengzhuang Chen, Jerrod Parker, Yejin Bang +23
The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetr…
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…
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
Georgios Piliouras, Fang-Yi Yu
The recent framework of performative prediction is aimed at capturing settings where predictions influence the target/outcome they want to predict. In this paper, we introduce a na…
Subspace Differential Privacy
Jie Gao, Ruobin Gong, Fang-Yi Yu
Many data applications have certain invariant constraints due to practical needs. Data curators who employ differential privacy need to respect such constraints on the sanitized da…
Optimal Scoring Rule Design under Partial Knowledge
Yiling Chen, Fang-Yi Yu
This paper studies the design of optimal proper scoring rules when the principal has partial knowledge of an agent's signal distribution. Recent work characterizes the proper scori…