2 citations · 2 across the 1 of their papers we have counts for
4 papers
ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making
Ziyang Guo, Yifan Wu, Jason Hartline +2
Multi-agent decision pipelines can outperform single agent workflows when complementarity holds, i.e., different agents bring unique information to the table to inform a final deci…
How AI Responses Shape User Beliefs: The Effects of Information Detail and Confidence on Belief Strength and Stance
Zekun Wu, Mayank Jobanputra, Vera Demberg +2
The growing use of AI-generated responses in everyday tools raises concern about how subtle features such as supporting detail or tone of confidence may shape people's beliefs. To…
A Computational Method for Measuring "Open Codes" in Qualitative Analysis
John Chen, Alexandros Lotsos, Sihan Cheng +7
Qualitative analysis is critical to understanding human datasets in many social science disciplines. A central method in this process is inductive coding, where researchers identif…
Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
Aryan Shrivastava, Jessica Hullman, Max Lamparth
There is an increasing interest in using language models (LMs) for automated decision-making, with multiple countries actively testing LMs to aid in military crisis decision-making…