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ICML 2025 Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models'.
ICML 2024 Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models
CVPR 2024 Highlight Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
In Stage 1, the Keyword Extraction Prompt instructs ChatGPT to generate verbs, nouns, and adjectives (highlighted in brown) from the original caption. In Stage 2, the Caption Generation Prompt guides ChatGPT to generate a rewritten caption. By iteratively applying this prompt, multiple rewritten…
The main features of anonymousanoy/fohe are: Hallucination Mitigation, Mitigation Methods.
Projects with overlapping indexed features include: 1zhou-wang/memvr — [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for… fuxiaoliu/lrv-instruction — [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. bradyfu/woodpecker — ✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. damo-nlp-sg/vcd — [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive… billchan226/halc — [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding". hyperwjf/logiccheckgpt — [ACL 2024] Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. Detect and mitigate…