p-lambda / dsirLinks
DSIR large-scale data selection framework for language model training
☆269Updated last year
Alternatives and similar repositories for dsir
Users that are interested in dsir are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆350Updated 2 years ago
- ☆273Updated 2 years ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆484Updated last year
- Scaling Data-Constrained Language Models☆342Updated 7 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆327Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆201Updated last month
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆409Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆373Updated 2 years ago
- What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets☆227Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆205Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆361Updated 2 years ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆168Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆445Updated last year
- Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…☆151Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆169Updated 4 months ago
- ☆282Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆185Updated 11 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆370Updated last year
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆246Updated 4 months ago
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆137Updated 9 months ago
- ☆106Updated 2 years ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆254Updated 2 years ago
- Reproducible, flexible LLM evaluations☆337Updated last week
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 11 months ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆245Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- Simple next-token-prediction for RLHF☆228Updated 2 years ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆194Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated last year