thunlp / PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
☆4,171Updated last year
Alternatives and similar repositories for PromptPapers:
Users that are interested in PromptPapers are comparing it to the libraries listed below
- An Open-Source Framework for Prompt-Learning.☆4,517Updated 8 months ago
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,028Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,021Updated 6 months ago
- An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks☆2,022Updated last year
- Toolkit for creating, sharing and using natural language prompts.☆2,804Updated last year
- A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.☆929Updated 2 years ago
- [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821☆3,523Updated 5 months ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆917Updated 11 months ago
- Paper List for In-context Learning 🌷☆851Updated 5 months ago
- Aligning pretrained language models with instruction data generated by themselves.☆4,324Updated 2 years ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,697Updated 7 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,503Updated 9 months ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆3,909Updated last week
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,617Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆673Updated 3 weeks ago
- We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tunin…☆2,718Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,141Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated last year
- AutoPrompt: Automatic Prompt Construction for Masked Language Models.☆614Updated 7 months ago
- MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers☆1,146Updated last year
- Must-read Papers on pre-trained language models.☆3,357Updated 2 years ago
- Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date…☆1,560Updated 3 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆945Updated 3 months ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,673Updated 2 weeks ago
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,775Updated last year
- Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.☆3,075Updated last year
- ☆397Updated 3 years ago
- Dense Passage Retriever - is a set of tools and models for open domain Q&A task.☆1,770Updated last year
- ☆894Updated 8 months ago
- Recent Advances in Vision and Language PreTrained Models (VL-PTMs)☆1,152Updated 2 years ago