AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)
☆51Mar 17, 2024Updated last year
Alternatives and similar repositories for autopeft
Users that are interested in autopeft are comparing it to the libraries listed below
Sorting:
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Nov 4, 2023Updated 2 years ago
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆14Oct 3, 2024Updated last year
- ☆25Jul 12, 2022Updated 3 years ago
- Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning (Zhou et al.; EMNLP 2023 Findings)☆17Feb 17, 2024Updated 2 years ago
- Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning☆201May 4, 2024Updated last year
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆138Aug 14, 2023Updated 2 years ago
- ☆26May 30, 2023Updated 2 years ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Jul 1, 2023Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Mar 23, 2022Updated 3 years ago
- ☆11Nov 13, 2024Updated last year
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆14May 26, 2024Updated last year
- TopViewRS: Vision-Language Models as Top-View Spatial Reasoners (EMNLP 2024 Oral)☆15Jun 14, 2025Updated 8 months ago
- The official repository for Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapte…☆17Jan 15, 2024Updated 2 years ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆92Jul 25, 2023Updated 2 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Jun 2, 2023Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Feb 28, 2023Updated 3 years ago
- [EMNLP 2023] Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge☆14Jan 5, 2024Updated 2 years ago
- ☆15Mar 15, 2021Updated 4 years ago
- ☆16Jun 14, 2023Updated 2 years ago
- ☆35Mar 2, 2023Updated 3 years ago
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.☆283Jun 27, 2023Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Mar 4, 2024Updated 2 years ago
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆543Mar 24, 2022Updated 3 years ago
- ☆15Nov 24, 2025Updated 3 months ago
- Instruct-tuning LLaMA on consumer hardware with machine-translated data☆19Apr 17, 2023Updated 2 years ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆412Sep 26, 2024Updated last year
- ☆33Sep 29, 2021Updated 4 years ago
- ☆20Jul 5, 2024Updated last year
- This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of …☆24Apr 11, 2023Updated 2 years ago
- ☆18Nov 6, 2019Updated 6 years ago
- [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Pe…☆15Oct 18, 2022Updated 3 years ago
- [EMNLP'23] Code for "Non-autoregressive Text Editing with Copy-aware Latent Alignments".☆20Oct 17, 2023Updated 2 years ago
- ☆131Aug 18, 2022Updated 3 years ago
- ☆19Oct 31, 2022Updated 3 years ago
- ☆21Jan 13, 2022Updated 4 years ago
- Official implementation for "Parameter-Efficient Fine-Tuning Design Spaces"☆27Jan 4, 2023Updated 3 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆57Apr 23, 2023Updated 2 years ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆23Nov 11, 2025Updated 3 months ago