SOTAVerified

Hallucination Evaluation

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–49 of 49 papers

TitleStatusHype
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language ModelsCode3
DefAn: Definitive Answer Dataset for LLMs Hallucination EvaluationCode0
HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination EvaluationCode0
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems—0
TextSquare: Scaling up Text-Centric Visual Instruction Tuning—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
PhD: A ChatGPT-Prompted Visual hallucination Evaluation DatasetCode1
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language ModelsCode1
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceCode2
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models—0
Do Androids Know They're Only Dreaming of Electric Sheep?—0
Alleviating Hallucinations of Large Language Models through Induced HallucinationsCode1
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption RewritesCode1
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained GenerationCode1
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataCode1
Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationCode1
AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination EvaluationCode1
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsCode2
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsCode1
Evaluation and Analysis of Hallucination in Large Vision-Language ModelsCode1
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsCode2
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsCode2
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.