On Transferability of Prompt Tuning for Natural Language Processing
☆98May 3, 2024Updated 2 years ago
Alternatives and similar repositories for Prompt-Transferability
Users that are interested in Prompt-Transferability are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…☆11Feb 6, 2023Updated 3 years ago
- ☆26Aug 14, 2022Updated 4 years ago
- Task Compass: Scaling Multi-task Pre-training with Task Prefix (EMNLP 2022: Findings) (stay tuned & more will be updated)☆22Oct 17, 2022Updated 3 years ago
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆699Mar 6, 2025Updated last year
- ☆21Dec 5, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆277Nov 8, 2022Updated 3 years ago
- Neuron Activation☆28Nov 21, 2024Updated last year
- ☆14Apr 27, 2022Updated 4 years ago
- Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)☆113Apr 28, 2022Updated 4 years ago
- Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".☆50Apr 17, 2022Updated 4 years ago
- ☆131Aug 18, 2022Updated 4 years ago
- Residual Prompt Tuning: a method for faster and better prompt tuning.☆56May 10, 2023Updated 3 years ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Jan 9, 2025Updated last year
- Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022☆110Aug 10, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- An Open-Source Framework for Prompt-Learning.☆4,895Jul 16, 2024Updated 2 years ago
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆274Apr 15, 2023Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85May 10, 2022Updated 4 years ago
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆34Aug 9, 2023Updated 3 years ago
- Implementation of the report: on the domain robustness of prefix and prompt tuning☆20Mar 10, 2022Updated 4 years ago
- 😜Constrative Learning of Sentence Embedding using LoRA (EECS487 final project)☆13Apr 19, 2023Updated 3 years ago
- ☆11Jun 23, 2022Updated 4 years ago
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,048Sep 19, 2024Updated 2 years ago
- CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models☆30Jul 2, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆460Sep 6, 2023Updated 3 years ago
- ☆16Nov 30, 2022Updated 3 years ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆92Jul 25, 2023Updated 3 years ago
- [SIGIR '22] Code for our SIGIR 2022 accepted paper : P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Pr…☆18Sep 24, 2023Updated 2 years ago
- Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)☆541Mar 24, 2022Updated 4 years ago
- Zero-shot Learning by Generating Task-specific Adapters☆14Apr 2, 2021Updated 5 years ago
- Observe the slow deterioration of my mental sanity in the github commit history☆12May 31, 2023Updated 3 years ago
- ☆351Aug 8, 2021Updated 5 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆73Feb 3, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆16Feb 18, 2022Updated 4 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆27Nov 13, 2023Updated 2 years ago
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆13May 11, 2022Updated 4 years ago
- ☆22Nov 18, 2022Updated 3 years ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆60Jun 27, 2022Updated 4 years ago
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆101Apr 10, 2024Updated 2 years ago
- Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval☆26Aug 7, 2023Updated 3 years ago