bronyayang / HallE_ControlLinks
HallE-Control: Controlling Object Hallucination in LMMs
☆31Updated last year
Alternatives and similar repositories for HallE_Control
Users that are interested in HallE_Control are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆92Updated 8 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆93Updated 7 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated 9 months ago
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆132Updated 8 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆79Updated 8 months ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆61Updated 3 weeks ago
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆58Updated 7 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆47Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆81Updated 5 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆62Updated 5 months ago
- [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…☆145Updated 3 weeks ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆90Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆87Updated last year
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models☆71Updated last year
- [ECCV2024] Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models☆17Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 9 months ago
- 【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"☆19Updated 10 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆77Updated last year
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆37Updated 5 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆40Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆147Updated last year
- Code for paper: Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection☆36Updated 4 months ago
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆46Updated 8 months ago
- ☆132Updated 5 months ago
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆189Updated 10 months ago
- Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency☆47Updated last month
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆35Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated last month
- ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio☆46Updated 3 weeks ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆58Updated 10 months ago