google-research / prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021
☆657Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for prompt-tuning
- Expanding natural instructions☆959Updated 11 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆517Updated 11 months ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆457Updated 2 years ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆896Updated 6 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆756Updated last year
- ☆340Updated 3 years ago
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆431Updated last year
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆685Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆541Updated last year
- Fusion-in-Decoder☆549Updated last year
- AutoPrompt: Automatic Prompt Construction for Masked Language Models.☆595Updated 2 months ago
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆459Updated 7 months ago
- Crosslingual Generalization through Multitask Finetuning☆516Updated last month
- ☆1,474Updated 3 weeks ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,079Updated 8 months ago
- Accompanying repo for the RLPrompt paper☆300Updated 5 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,080Updated 10 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,624Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆543Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆528Updated 8 months ago
- [NIPS2023] RRHF & Wombat☆798Updated last year
- Few-shot Learning of GPT-3☆344Updated last year
- Prod Env☆385Updated last year
- Toolkit for creating, sharing and using natural language prompts.☆2,700Updated last year
- A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.☆923Updated 2 years ago
- [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723☆721Updated 2 years ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆594Updated 3 months ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆851Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆782Updated 4 months ago
- [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models☆550Updated last year