[EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
☆117Aug 21, 2025Updated 9 months ago
Alternatives and similar repositories for POPE
Users that are interested in POPE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆262Aug 21, 2025Updated 9 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆169Jan 15, 2024Updated 2 years ago
- ☆97Mar 29, 2019Updated 7 years ago
- [CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allo…☆410Aug 24, 2024Updated last year
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆114Dec 4, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆406Oct 7, 2024Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆156Apr 30, 2024Updated 2 years ago
- HallE-Control: Controlling Object Hallucination in LMMs☆32Apr 10, 2024Updated 2 years ago
- [ACL 2025 Findings] Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vis…☆25Jul 21, 2024Updated last year
- [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning☆297Mar 13, 2024Updated 2 years ago
- [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback☆308Sep 11, 2024Updated last year
- 📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).☆1,022Sep 27, 2025Updated 8 months ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆24Jan 1, 2025Updated 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(…☆338Oct 14, 2025Updated 7 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆32Jul 29, 2024Updated last year
- [Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought …☆445Dec 22, 2024Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆104Jan 30, 2024Updated 2 years ago
- M-HalDetect Dataset Release☆29Nov 4, 2023Updated 2 years ago
- Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"☆302May 22, 2025Updated last year
- Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…☆14Dec 16, 2024Updated last year
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆66Aug 30, 2025Updated 9 months ago
- ☆56Nov 26, 2024Updated last year
- [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501☆60Jul 26, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.☆364Jan 14, 2025Updated last year
- Official PyTorch Implementation for the "What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-mod…☆20Sep 26, 2024Updated last year
- MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)☆327Jan 20, 2025Updated last year
- VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs☆56Mar 9, 2025Updated last year
- Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model☆281Jun 25, 2024Updated last year
- ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio☆53Jul 11, 2025Updated 11 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆93Apr 30, 2024Updated 2 years ago
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆43Dec 16, 2025Updated 5 months ago
- ☆33Apr 18, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A bug-free and improved implementation of LLaVA-UHD, based on the code from the official repo☆35Aug 12, 2024Updated last year
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆150Mar 23, 2024Updated 2 years ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆68May 31, 2024Updated 2 years ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆83Feb 22, 2025Updated last year
- The code for "VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by VIdeo SpatioTemporal Augmentation" [CVPR2025]☆21Feb 27, 2025Updated last year
- The official GitHub page for ''What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Ins…☆19Nov 10, 2023Updated 2 years ago
- [ICCV 2025] LVBench: An Extreme Long Video Understanding Benchmark☆144Jul 9, 2025Updated 11 months ago