zhilizju / Awesome-instruction-tuning
A curated list of awesome instruction tuning datasets, models, papers and repositories.
☆322Updated last year
Alternatives and similar repositories for Awesome-instruction-tuning:
Users that are interested in Awesome-instruction-tuning are comparing it to the libraries listed below
- All available datasets for Instruction Tuning of Large Language Models☆240Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆474Updated 9 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆325Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆543Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆324Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆469Updated 3 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆332Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆758Updated last year
- RewardBench: the first evaluation tool for reward models.☆491Updated last week
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆538Updated 10 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆447Updated 9 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆524Updated last month
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆221Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆550Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆249Updated last year
- DSIR large-scale data selection framework for language model training☆242Updated 9 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆450Updated 6 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆314Updated 7 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆388Updated 8 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆292Updated 4 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆524Updated last year
- A Survey on Data Selection for Language Models☆201Updated 3 months ago
- ☆268Updated last year
- Aligning Large Language Models with Human: A Survey☆709Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆452Updated 8 months ago
- ☆484Updated last month
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆493Updated 3 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆785Updated 2 weeks ago
- An Extensible Continual Learning Framework Focused on Language Models (LMs)☆263Updated 11 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆609Updated 5 months ago