facebookresearch / SemDeDup
Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically similar, but not exactly identical).
☆131Updated last year
Alternatives and similar repositories for SemDeDup:
Users that are interested in SemDeDup are comparing it to the libraries listed below
- DSIR large-scale data selection framework for language model training☆244Updated 11 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆162Updated 9 months ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆140Updated 2 years ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆117Updated last month
- Self-Alignment with Principle-Following Reward Models☆156Updated last year
- ☆98Updated 6 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆102Updated last month
- ☆253Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆236Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 9 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆130Updated 6 months ago
- All available datasets for Instruction Tuning of Large Language Models☆248Updated last year
- What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets☆215Updated 4 months ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 8 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆67Updated last year
- ☆172Updated last year
- Code used for the creation of OBELICS, an open, massive and curated collection of interleaved image-text web documents, containing 141M d…☆199Updated 7 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆147Updated 6 months ago
- ☆85Updated 2 years ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆137Updated 5 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆394Updated 10 months ago
- Scaling Data-Constrained Language Models☆335Updated 6 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆171Updated 3 weeks ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆130Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆317Updated last year
- AI Logging for Interpretability and Explainability🔬☆110Updated 9 months ago
- contrastive decoding☆197Updated 2 years ago
- Unofficial implementation of AlpaGasus☆90Updated last year
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆54Updated 6 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆151Updated last year