RUCAIBox / POPELinks
The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
β245Updated 5 months ago
Alternatives and similar repositories for POPE
Users that are interested in POPE are comparing it to the libraries listed below
Sorting:
- [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuningβ296Updated last year
- π curated list of awesome LMM hallucinations papers, methods & resources.β150Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Modelsβ156Updated last year
- [CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(β¦β325Updated 3 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimizationβ100Updated 2 years ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''β105Updated 5 months ago
- Official repository for the A-OKVQA datasetβ109Updated last year
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluationβ153Updated 2 years ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"β107Updated last year
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigatingβ97Updated 2 years ago
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decodingβ375Updated last year
- A RLHF Infrastructure for Vision-Language Modelsβ196Updated last year
- β155Updated last year
- β88Updated last year
- β101Updated 2 years ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)β57Updated last year
- [CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Alloβ¦β397Updated last year
- This is the first released survey paper on hallucinations of large vision-language models (LVLMs). To keep track of this field and continβ¦β91Updated last year
- β360Updated 2 years ago
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resourcesβ262Updated 4 months ago
- M-HalDetect Dataset Releaseβ27Updated 2 years ago
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuningβ134Updated 2 years ago
- Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"β286Updated 8 months ago
- β93Updated 6 years ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.β85Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMsβ162Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visualβ¦β82Updated 11 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)β52Updated last year
- β68Updated 2 years ago
- FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Modelsβ32Updated 2 months ago