pkunlp-icler / MICLinks
MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
☆50Updated 4 months ago
Alternatives and similar repositories for MIC
Users that are interested in MIC are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆150Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆98Updated last year
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆74Updated 4 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆66Updated 2 months ago
- [CVPR 2024] Official Code for the Paper "Compositional Chain-of-Thought Prompting for Large Multimodal Models"☆142Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆49Updated last year
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆22Updated 11 months ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 9 months ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆92Updated last year
- [NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models☆49Updated last year
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models☆77Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆99Updated 3 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆83Updated last year
- Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)☆16Updated last year
- [CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension☆60Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆81Updated last month
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆98Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆38Updated last year
- Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision☆41Updated last month
- ✨A curated list of papers on the uncertainty in multi-modal large language model (MLLM).☆55Updated 8 months ago
- ☆25Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆151Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 5 months ago
- Visual self-questioning for large vision-language assistant.☆45Updated 4 months ago
- NegCLIP.☆38Updated 2 years ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆89Updated last year
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆231Updated 3 months ago
- Official repository for the A-OKVQA dataset☆104Updated last year
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year