A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"

[ICML'2024] Can AI Assistants Know What They Don't Know?

A toolbox for benchmarking Multimodal LLM Agents trustworthiness across truthfulness, controllability, safety and privacy dimensions through 34 interactive tasks

Improving LLM truthfulness via reporting confidence

Example VerityIndex Reports on Media

Google Chrome Extension to add LLM text reading in a browser