thunlp / PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
☆4,203Updated last year
Alternatives and similar repositories for PromptPapers
Users that are interested in PromptPapers are comparing it to the libraries listed below
Sorting:
- An Open-Source Framework for Prompt-Learning.☆4,586Updated 10 months ago
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,035Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,027Updated 7 months ago
- Toolkit for creating, sharing and using natural language prompts.☆2,846Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,162Updated last year
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,726Updated 9 months ago
- Paper List for In-context Learning 🌷☆853Updated 7 months ago
- A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.☆932Updated 2 years ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆926Updated last year
- An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks☆2,037Updated last year
- Aligning pretrained language models with instruction data generated by themselves.☆4,368Updated 2 years ago
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,827Updated last year
- [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821☆3,554Updated 7 months ago
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,621Updated last year
- Must-read Papers on pre-trained language models.☆3,359Updated 2 years ago
- We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tunin…☆2,744Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆956Updated last month
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,702Updated this week
- ☆396Updated 3 years ago
- Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo☆3,063Updated last year
- Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.☆284Updated last year
- A modular RL library to fine-tune language models to human preferences☆2,307Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆678Updated 2 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated last year
- Instruction Tuning with GPT-4☆4,303Updated last year
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,641Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆496Updated last year
- Aligning Large Language Models with Human: A Survey☆730Updated last year
- A curated list of reinforcement learning with human feedback resources (continually updated)☆3,940Updated 2 weeks ago
- 📖 Paper reading list in conversational AI.☆1,012Updated 2 weeks ago