[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

[ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.

Can Knowledge Editing Really Correct Hallucinations?

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

Loki: Open-source solution designed to automate the process of verifying factuality

Open source AI hallucination monitoring

[ACL 2024] An Easy-to-use Hallucination Detection Framework for LLMs.

Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)

🧙🏻Code and benchmark for our Findings of ACL 2024 paper - "TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models"

sFRC: To identify fakes in medical images reconstructed using AI

OLAPH: Improving Factuality in Biomedical Long-form Question Answering

[NAACL24] Official Implementation of Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

Cocktail dynamic graph prompting technique in LLM for hallucination

Controlled HALlucination-Evaluation (CHALE) Question-Answering Dataset

✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs.

openai function calling demo that gets customizable weather information

openai assistant using code interpreter

[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection