Difan Jiao — accepted AI-conference papers

2024

Maia-2: A Unified Model for Human-AI Alignment in Chess

Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

NeurIPS 2024poster

There are an increasing number of domains in which artificial intelligence (AI) systems both surpass human ability and accurately model human behavior. This introduces the possibility of algorithmically-informed teaching in these domains through more relatable AI partners and deeper insights into hu…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2024

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification

Difan Jiao, Yilun Liu, Zhenwei Tang, Daniel Matter, Jürgen Pfeffer, Ashton Anderson

ACL 2024findings

Among the many tasks that Large Language Models (LLMs) have revolutionized is text classification. Current text classification paradigms, however, rely solely on the output of the final layer in the LLM, with the rich information contained in internal neurons largely untapped. In this study, we pres…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗