NVIDIA researchers, in collaboration with Princeton University and the University of Maryland, have introduced PivotOPD, a novel on-policy distillation method designed to train multi-turn large language model (LLM) agents. This technique specifically focuses on teaching an agent to avoid…
Reports mentioning Princeton University
Researchers from Princeton University, Ant Group, and Stanford University have introduced AQuA, a novel two-part agentic framework designed to enhance autonomous factor discovery and model development within quantitative finance. This framework addresses a critical issue in quantitative research where agents…
The prospect of artificial intelligence achieving recursive self-improvement, where AI systems autonomously enhance their own capabilities without significant human intervention, may be further off than anticipated, according to a recent study.
Researchers from Princeton University and the University of Chicago have found that large language models (LLMs) are more prone to developing biases and stereotyping job applicants than humans. In a simulated hiring game, LLMs like ChatGPT, Claude, and Gemini were…