A Survey on Data Selection for Language Models
☆260Apr 29, 2025Updated last year
Alternatives and similar repositories for data-selection-survey
Users that are interested in data-selection-survey are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆80Nov 14, 2024Updated last year
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆14Jan 9, 2024Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆204Dec 8, 2025Updated 8 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆532Oct 20, 2024Updated last year
- ☆20Jun 27, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆189Jun 25, 2025Updated last year
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆418Jun 25, 2025Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆183Jun 30, 2024Updated 2 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆14Aug 8, 2025Updated last year
- Papers about training data quality management for ML models.☆126Jun 13, 2026Updated 2 months ago
- Collection of training data management explorations for large language models☆343Aug 2, 2024Updated 2 years ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆601Dec 9, 2024Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 3 years ago
- Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific a…☆19Dec 25, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆43Sep 21, 2023Updated 2 years ago
- DSIR large-scale data selection framework for language model training☆275Apr 7, 2024Updated 2 years ago
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Jun 22, 2023Updated 3 years ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆472Apr 18, 2024Updated 2 years ago
- Fantastic Data Engineering for Large Language Models☆92Dec 29, 2024Updated last year
- AI Logging for Interpretability and Explainability🔬☆147Jun 7, 2024Updated 2 years ago
- ☆44Oct 13, 2023Updated 2 years ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆83May 2, 2025Updated last year
- Language models scale reliably with over-training and on downstream tasks☆103Apr 2, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets☆229Nov 16, 2024Updated last year
- Paper list and datasets for the paper: A Survey on Data Selection for LLM Instruction Tuning☆48Jan 22, 2026Updated 6 months ago
- Trending projects & awesome papers about data-centric llm studies.☆40May 20, 2025Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆82Oct 3, 2024Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆124Mar 24, 2026Updated 4 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆48Oct 31, 2023Updated 2 years ago
- ☆52Jan 24, 2024Updated 2 years ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆198May 23, 2026Updated 2 months ago
- Few-shot Learning with Auxiliary Data☆31Dec 8, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A fast, effective data attribution method for neural networks in PyTorch☆245Nov 18, 2024Updated last year
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆90Feb 27, 2024Updated 2 years ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆202Feb 17, 2025Updated last year
- ☆48Oct 1, 2024Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆357Dec 26, 2023Updated 2 years ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆273Jul 8, 2025Updated last year