Pbihao / SLMLinks
☆28Updated last year
Alternatives and similar repositories for SLM
Users that are interested in SLM are comparing it to the libraries listed below
Sorting:
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆81Updated last year
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)☆43Updated last month
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 6 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆79Updated 9 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 10 months ago
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆34Updated 9 months ago
- Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …☆35Updated 7 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 10 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆66Updated 5 months ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 11 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆19Updated 2 months ago
- EMPO, A Fully Unsupervised RLVR Method☆64Updated this week
- ☆36Updated last year
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆96Updated last year
- ☆16Updated 7 months ago
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆25Updated last year
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆79Updated last year
- ☆100Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆87Updated last year
- ☆25Updated last month
- Codes for Merging Large Language Models☆33Updated last year
- ☆12Updated 4 months ago
- ☆184Updated last year
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated last year
- Less is More: High-value Data Selection for Visual Instruction Tuning☆15Updated 7 months ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆48Updated last year
- Must-read Papers on Large Language Model (LLM) Continual Learning☆144Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year