ShiZhengyan / DePTLinks
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
☆98Updated last year
Alternatives and similar repositories for DePT
Users that are interested in DePT are comparing it to the libraries listed below
Sorting:
- Codes for Merging Large Language Models☆33Updated last year
- ☆42Updated 2 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- Residual Prompt Tuning: a method for faster and better prompt tuning.☆56Updated 2 years ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆80Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)☆44Updated 4 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- ☆30Updated 2 years ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆48Updated last year
- Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"☆19Updated last year
- ☆28Updated last year
- ☆131Updated 8 months ago
- Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …☆36Updated 10 months ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆83Updated last year
- Official Code Repository for the paper "Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-intensive Tasks…☆41Updated 11 months ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria☆72Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 9 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆135Updated 7 months ago
- ☆24Updated 2 years ago
- code for ACL24 "MELoRA: Mini-Ensemble Low-Rank Adapter for Parameter-Efficient Fine-Tuning"☆33Updated 9 months ago
- PyTorch implementation of StableMask (ICML'24)☆14Updated last year
- ☆33Updated 2 years ago
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆36Updated last year
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆81Updated last month
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆61Updated 2 months ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆39Updated last year