MajorDavidZhang / MCLLinks
code for Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
☆16Updated 10 months ago
Alternatives and similar repositories for MCL
Users that are interested in MCL are comparing it to the libraries listed below
Sorting:
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)☆38Updated last year
- Code and data for "Timo: Towards Better Temporal Reasoning for Language Models" (COLM 2024)☆21Updated 7 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆78Updated 3 months ago
- (ICLR2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.☆34Updated 2 months ago
- ☆37Updated 10 months ago
- ☆45Updated last month
- NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation☆65Updated this week
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆42Updated 7 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆74Updated 6 months ago
- [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality☆31Updated last month
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆50Updated 7 months ago
- ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-of…☆21Updated last week
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆60Updated 5 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆74Updated 11 months ago
- ☆24Updated last year
- Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"☆19Updated 6 months ago
- ☆17Updated last year
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…☆22Updated 3 weeks ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated 11 months ago
- Less is More: High-value Data Selection for Visual Instruction Tuning☆13Updated 4 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated 10 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆82Updated 5 months ago
- ☆27Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- CLIP-MoE: Mixture of Experts for CLIP☆37Updated 7 months ago
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆41Updated 2 weeks ago
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆51Updated last week
- V1: Toward Multimodal Reasoning by Designing Auxiliary Task☆34Updated last month
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆30Updated 7 months ago
- ☆25Updated last year