13 citations · 16 across the 8 of their papers we have counts for
3 papers · 1 filter
Hidden in Plain Text: Measuring LLM Deception Quality Against Human Baselines Using Social Deduction Games
Christopher Kao, Vanshika Vats, James Davis
Large Language Model (LLM) agents are increasingly used in many applications, raising concerns about their safety. While previous work has shown that LLMs can deceive in controlled…
A Survey on Human-AI Collaboration with Large Foundation Models
Vanshika Vats, Marzia Binta Nizam, Minghao Liu +20
As the capabilities of artificial intelligence (AI) continue to expand rapidly, Human-AI (HAI) Collaboration, combining human intellect and AI systems, has become pivotal for advan…
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities
Yuhao Chen, Chloe Wong, Hanwen Yang +11
This study critically evaluates the efficacy of prompting methods in enhancing the mathematical reasoning capability of large language models (LLMs). The investigation uses three p…