hkust-nlp / deitaLinks
Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
☆575Updated 11 months ago
Alternatives and similar repositories for deita
Users that are interested in deita are comparing it to the libraries listed below
Sorting:
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆400Updated 4 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆502Updated last year
- ☆314Updated last year
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆281Updated 2 years ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆391Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆355Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆403Updated last year
- Collection of training data management explorations for large language models☆335Updated last year
- Generative Judge for Evaluating Alignment☆247Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆266Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆523Updated 10 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆346Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆477Updated last year
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆256Updated 11 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆181Updated 4 months ago
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆269Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆441Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆318Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆786Updated 7 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆138Updated 6 months ago
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆253Updated last year
- ☆548Updated 10 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆528Updated last year
- ☆341Updated 5 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆499Updated last year
- RewardBench: the first evaluation tool for reward models.☆653Updated 5 months ago
- [ACL2024] T-Eval: Evaluating Tool Utilization Capability of Large Language Models Step by Step☆297Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆355Updated last year
- ☆146Updated last year
- FuseAI Project☆583Updated 9 months ago