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Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

Hallucinations (Confabulations) Document-Based Benchmark for RAG

List of papers on hallucination detection in LLMs.

Alignment toolkit to safeguards LLMs

[ECCV 2024] Official PyTorch implementation of ESREAL

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

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models | EMNLP Findings 2024

This is the repository for the paper DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models (EMNLP2024 findings)

This repo aims to remove/minimize hallucination introduced through large language models in development of KG

Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.

langchain tutorial using gemini

Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"

Code for "The Curious Case of Hallucinations in Neural Machine Translation".

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

Antibodies for LLMs hallucinations (grouping LLM as a judge, NLI, reward models)

Official repo for SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models

Attack to induce LLMs within hallucinations

[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"