Code for paper 'Data-Efficient FineTuning'
☆28May 24, 2023Updated 3 years ago
Alternatives and similar repositories for data-efficient-finetuning
Users that are interested in data-efficient-finetuning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source Code for "Teaching Machine Comprehension with Compositional Explanations" (Findings of EMNLP 2020)☆10Dec 12, 2020Updated 5 years ago
- Code for the PAPA paper☆27Nov 8, 2022Updated 3 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Oct 20, 2022Updated 4 years ago
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Jul 14, 2021Updated 5 years ago
- Example spreadsheets from SpreadServe☆12Aug 28, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆14Apr 22, 2024Updated 2 years ago
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆184Oct 28, 2022Updated 4 years ago
- ☆15Aug 25, 2026Updated 2 months ago
- [EMNLP2020] End-to-End Emotion-Cause Pair Extraction based on SlidingWindow Multi-Label Learning☆20Oct 13, 2020Updated 6 years ago
- TBC☆28Nov 2, 2022Updated 3 years ago
- Code for EMNLP 2021 paper: Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting☆17Nov 30, 2021Updated 4 years ago
- This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.☆72Nov 1, 2022Updated 3 years ago
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆63Nov 30, 2023Updated 2 years ago
- Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)☆30Oct 25, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆23Sep 4, 2016Updated 10 years ago
- ☆157Mar 18, 2023Updated 3 years ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆60Jun 27, 2022Updated 4 years ago
- Embedding-based evaluation metrics for dialogue generation.☆15Jan 8, 2023Updated 3 years ago
- This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"☆32Sep 13, 2024Updated 2 years ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆210Jan 13, 2024Updated 2 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆104Dec 1, 2022Updated 3 years ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Mar 8, 2023Updated 3 years ago
- Apply Iprompt on GLM with innovative new methods. Currently support Chinese QA, English QA and Chinese poem generation.☆20Jun 16, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆18Feb 28, 2022Updated 4 years ago
- Official implementation for "SPIRIT: Style-guided Patch Interaction for Fashion Image Retrieval with Text Feedback"☆16Oct 27, 2025Updated last year
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆57Apr 23, 2023Updated 3 years ago
- Auto Model Factorization☆12Sep 14, 2021Updated 5 years ago
- Codebase for the paper "Rethinking Semi-supervised Learning with Language Models"☆26Oct 31, 2025Updated 11 months ago
- A library for handling Structural Causal Models and performing interventional and counterfactual inference on them.☆13Jul 3, 2020Updated 6 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
- Multi-task modelling extensions for huggingface transformers☆21Mar 3, 2023Updated 3 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆52Jul 17, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Oct 4, 2024Updated 2 years ago
- ☆31Sep 7, 2023Updated 3 years ago
- Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions☆16May 7, 2018Updated 8 years ago
- Easy modernBERT fine-tuning and multi-task learning☆66Oct 22, 2026Updated last week
- DImensional Modeling of Emotions in Text with Appraisal Theories☆10Apr 27, 2023Updated 3 years ago
- Effective Attention Sheds Light On Interpretability - Findings of ACL2021☆11May 16, 2021Updated 5 years ago
- Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…☆14Jan 26, 2025Updated last year