FIELD NOTES TOPIC
hallucinations
3 notes, newest first.
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers present G-Frame, an adaptive multi-agent framework that reduces hallucinations in lightweight large language models used in rule-based scientific domains. The framework is based on Bayesian and team game…
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers present G-Frame, a new framework that uses artificial intelligence (AI) to create a high-quality dataset and train a model called OmniChem. This model performs as well as another AI model (GPT 4o mini) on…
Grad Detect: Gradient-Based Hallucination Detection in LLMs
The authors present a new method called Grad Detect, which uses the internal gradient structure of Large Language Models (LLMs) during inference to detect hallucinations. This method outperforms confidence-based and…
