exelents / soft-prompt-tuning
Prompt tuning for GPT-J
☆65Updated last year
Alternatives and similar repositories for soft-prompt-tuning:
Users that are interested in soft-prompt-tuning are comparing it to the libraries listed below
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆99Updated last year
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆57Updated 2 years ago
- ☆88Updated 2 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆150Updated last year
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆164Updated 3 years ago
- ☆64Updated 2 years ago
- Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022☆109Updated 2 years ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated last year
- Token-level Reference-free Hallucination Detection☆93Updated last year
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆57Updated last year
- ☆90Updated 10 months ago
- Repo for "On Learning to Summarize with Large Language Models as References"☆44Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆93Updated last year
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆103Updated 7 months ago
- First explanation metric (diagnostic report) for text generation evaluation☆63Updated 6 months ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆99Updated 2 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 6 months ago
- ☆70Updated last year
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 4 months ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆97Updated last year
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆79Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆180Updated 2 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆48Updated last year
- Code and Data Repo for [ACL 2023] Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"☆53Updated last year
- Prompt tuning toolkit for GPT-2 and GPT-Neo☆89Updated 3 years ago
- Repository for Decomposed Prompting☆84Updated last year
- Retrieval as Attention☆83Updated 2 years ago
- Source codes and datasets for How well do Large Language Models perform in Arithmetic tasks?☆56Updated last year
- Collection of scripts to pretrain T5 in unsupervised text, using PyTorch Lightning. CORD-19 pretraining provided as example.☆31Updated 3 years ago