google-research / prompt-tuningLinks
Original Implementation of Prompt Tuning from Lester, et al, 2021
☆699Updated 10 months ago
Alternatives and similar repositories for prompt-tuning
Users that are interested in prompt-tuning are comparing it to the libraries listed below
Sorting:
- Expanding natural instructions☆1,027Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated 2 years ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆552Updated 2 years ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆959Updated last year
- AutoPrompt: Automatic Prompt Construction for Masked Language Models.☆639Updated last year
- Fusion-in-Decoder☆588Updated 2 years ago
- ☆1,556Updated this week
- ☆351Updated 4 years ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 3 years ago
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆457Updated 2 years ago
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆767Updated 2 years ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆583Updated 2 years ago
- Prod Env☆436Updated 2 years ago
- Few-shot Learning of GPT-3☆356Updated 2 years ago
- Accompanying repo for the RLPrompt paper☆358Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆506Updated last year
- [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723☆729Updated 3 years ago
- A research project for natural language generation, containing the official implementations by MSRA NLC team.☆739Updated last year
- [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models☆566Updated 2 years ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆167Updated 4 years ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- Crosslingual Generalization through Multitask Finetuning☆537Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆517Updated 2 years ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆565Updated 2 years ago
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆476Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆544Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆505Updated last year
- Paper List for In-context Learning 🌷☆872Updated last year
- ☆399Updated 4 years ago
- Build, evaluate, understand, and fix LLM-based apps☆492Updated last year