hallucinations

#大语言模型#Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

#自然语言处理#List of papers on hallucination detection in LLMs.

#大语言模型#✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

#计算机科学#A curated list of trustworthy deep learning papers. Daily updating...

AI Testing Toolkit for AI applications

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

#自然语言处理#Attack to induce LLMs within hallucinations

#大语言模型#Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"

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

#大语言模型#Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.

#大语言模型#Hallucinations (Confabulations) Document-Based Benchmark for RAG

mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating

#自然语言处理#Framework for testing vulnerabilities of large language models (LLM).

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

#自然语言处理#An Easy-to-use Hallucination Detection Framework for LLMs.

Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"

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

#大语言模型#The implementation for EMNLP 2023 paper ”Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators“

#大语言模型#DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models