[CVPR 2025] VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification
☆50Mar 24, 2025Updated last year
Alternatives and similar repositories for VASparse-github
Users that are interested in VASparse-github are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Survey on Medical Report Generation: From Deep Neural Networks to Large Language Models☆31Feb 23, 2024Updated 2 years ago
- [ICCV 2025] ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models☆51Jul 7, 2025Updated last year
- ☆33Apr 18, 2025Updated last year
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆148Sep 11, 2025Updated 11 months ago
- [CVPR 2025 (Oral)] Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key☆113Jan 9, 2026Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Oct 2, 2024Updated 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
- Code for paper: Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection☆64Mar 13, 2025Updated last year
- Official repo for ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models☆28Mar 24, 2025Updated last year
- [CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Att…☆85Oct 9, 2025Updated 10 months ago
- [NeurIPS 2025] Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs☆38Sep 21, 2025Updated 11 months ago
- This repository contains the official code for our paper: Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visu…☆25Nov 15, 2024Updated last year
- [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality☆67Jul 5, 2025Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆172Nov 6, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code and data released for paper "Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment"☆32Mar 7, 2023Updated 3 years ago
- Code for paper: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models☆63Dec 18, 2024Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆120Nov 23, 2024Updated last year
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆68Aug 30, 2025Updated last year
- [AAAI 2025] ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Mode…☆25Sep 26, 2024Updated last year
- Official PyTorch Implementation of MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced …☆91Nov 15, 2024Updated last year
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆413Oct 7, 2024Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆52Jul 16, 2024Updated 2 years ago
- 🔥🔥[NeurIPS2025]Exploring and mitigating semantic hallucinations in scene text perception and reasoning☆30Dec 11, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"☆14Feb 1, 2024Updated 2 years ago
- ☆16Jun 14, 2024Updated 2 years ago
- [CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allo…☆414Aug 24, 2024Updated 2 years ago
- Official Implementation of CODE☆17Sep 26, 2024Updated last year
- Official Repo for the VideoVerse☆15Mar 29, 2026Updated 5 months ago
- ☆15Aug 20, 2026Updated last week
- ☆14Apr 9, 2026Updated 4 months ago
- [CVPR-2024] NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation☆16Oct 19, 2024Updated last year
- https://avocado-captioner.github.io/☆40Oct 16, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ACL 2025] PruneVid: Visual Token Pruning for Efficient Video Large Language Models☆71May 15, 2025Updated last year
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources☆328Aug 22, 2026Updated last week
- [NeurIPS2024] Repo for the paper `ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models'☆211Jul 17, 2025Updated last year
- This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.☆15Feb 12, 2024Updated 2 years ago
- [ICLR 2026 Oral] 🎉Hallucination Begins Where Saliency Drops☆69Feb 12, 2026Updated 6 months ago
- Official PyTorch code for ICLR 2025 paper "Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models"☆23Mar 4, 2025Updated last year
- An official implementation of "RankMixup: Ranking-Based Mixup Training for Network Calibration" (ICCV 2023) in PyTorch.☆11Dec 18, 2023Updated 2 years ago