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7 search results found

Woodpecker ⭐ 473

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

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

Uhgeval ⭐ 140

Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

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

Cognitive Mirage Hallucinations In Llms ⭐ 23

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

Dcr Consistency ⭐ 16

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

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

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