ypwang61 / negCLIPLoss_NormSimLinks
[NeurIPS 2024 Spotlight] CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning.
☆13Updated 11 months ago
Alternatives and similar repositories for negCLIPLoss_NormSim
Users that are interested in negCLIPLoss_NormSim are comparing it to the libraries listed below
Sorting:
- [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
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆50Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆83Updated last year
- ☆21Updated 7 months ago
- ☆28Updated last year
- Less is More: High-value Data Selection for Visual Instruction Tuning☆17Updated 10 months ago
- ☆61Updated 11 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆154Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆84Updated last year
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆66Updated 2 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated last year
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆26Updated 2 years ago
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆57Updated last year
- ☆25Updated 5 months ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆47Updated 2 years ago
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)☆44Updated 5 months ago
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆53Updated 8 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆53Updated 10 months ago
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆103Updated last year
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆37Updated 7 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆32Updated last year
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆38Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆92Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 9 months ago
- Implementation of "DIME-FM: DIstilling Multimodal and Efficient Foundation Models"☆15Updated 2 years ago
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆38Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆61Updated 2 years ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆122Updated 2 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆81Updated last month
- M-HalDetect Dataset Release☆26Updated 2 years ago