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Hallucination Evaluation

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Evaluate the ability of LLM to generate non-hallucination text or assess the capability of LLM to recognize hallucinations.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/141forever/diahalu

공식 코드

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models

https://github.com/IAAR-Shanghai/UHGEval

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UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

https://github.com/JackChen-seu/Reefknot

공식 코드

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models

https://github.com/RUCAIBox/HaluEval

공식 코드

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

https://github.com/alibaba/struxgpt

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Enhancing LLM's Cognition via Structurization

https://github.com/anonymousanoy/fohe

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Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites

https://github.com/ashikiut/defan

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DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation

https://github.com/casszhao/prunehall

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Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

https://github.com/cece00/FHSumBench

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Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization

https://github.com/ernlavr/multihal

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MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

https://github.com/hanqiu-hq/longhalqa

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LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models

https://github.com/haodongli2024/rspope

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DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark

https://github.com/hchoi256/i-halla-v1.0

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Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering

https://github.com/hillzhang1999/icd

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Alleviating Hallucinations of Large Language Models through Induced Hallucinations

https://github.com/hiyouga/llama-factory

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Alleviating Hallucinations of Large Language Models through Induced Hallucinations

https://github.com/hongcheng-gao/haven

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Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

https://github.com/ictnlp/truthx

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TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

https://github.com/j-bagel/treecut-math

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TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation

https://github.com/jiazhen-code/PhD

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PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset

https://github.com/junyangwang0410/amber

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AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

https://github.com/junyangwang0410/haelm

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Evaluation and Analysis of Hallucination in Large Vision-Language Models

https://github.com/rucaibox/helma

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HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

https://github.com/seemdog/DAHL

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DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine

https://github.com/tianyi-lab/hallusionbench

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HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

https://github.com/vectara/FaithJudge

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Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards

https://github.com/wujunjie1998/tri-he

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Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models

https://github.com/wuxiyang1996/AutoHallusion

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AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

https://github.com/wyl-willing/MindMap

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MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

https://github.com/yiyangzhou/lure

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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

https://github.com/yuqifan1117/hallucidoctor

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HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data

https://github.com/zjunlp/knowrl

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KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

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