hkust-nlp / deita
Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
☆531Updated last month
Alternatives and similar repositories for deita:
Users that are interested in deita are comparing it to the libraries listed below
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆333Updated 4 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆406Updated 3 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆237Updated last year
- ☆251Updated 6 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆238Updated last month
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆306Updated 4 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆369Updated 6 months ago
- Collection of training data management explorations for large language models☆306Updated 5 months ago
- Generative Judge for Evaluating Alignment☆224Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆388Updated 8 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆327Updated last year
- ☆250Updated last year
- A series of technical report on Slow Thinking with LLM☆359Updated this week
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆450Updated 10 months ago
- LongBench v2 and LongBench (ACL 2024)☆762Updated 2 weeks ago
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆256Updated 6 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆313Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆239Updated 4 months ago
- RewardBench: the first evaluation tool for reward models.☆493Updated this week
- ☆301Updated last week
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆172Updated 10 months ago
- Generative Representational Instruction Tuning☆588Updated last week
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆803Updated 2 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆457Updated last week
- ☆128Updated 9 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆138Updated 4 months ago
- All available datasets for Instruction Tuning of Large Language Models☆241Updated last year
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆231Updated 2 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆454Updated 7 months ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆329Updated 9 months ago