Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025**
☆13Aug 8, 2025Updated 6 months ago
Alternatives and similar repositories for AutoScale
Users that are interested in AutoScale are comparing it to the libraries listed below
Sorting:
- ☆17Mar 23, 2025Updated 11 months ago
- ☆109Jul 15, 2025Updated 7 months ago
- Aioli: A unified optimization framework for language model data mixing☆32Jan 17, 2025Updated last year
- The repository contains code for Adaptive Data Optimization☆32Dec 9, 2024Updated last year
- The official implementation of InfoRM [NeurIPS 2024].☆15Oct 25, 2025Updated 4 months ago
- An implementation of online data mixing for the Pile dataset, based on the GPT-NeoX library.☆13Jan 9, 2024Updated 2 years ago
- Codebase for Instruction Following without Instruction Tuning☆36Sep 24, 2024Updated last year
- Short RL☆18May 26, 2025Updated 9 months ago
- ☆13Jun 26, 2024Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Feb 22, 2024Updated 2 years ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆184Feb 17, 2025Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Nov 14, 2024Updated last year
- Codebase for ICML submission "DOGE: Domain Reweighting with Generalization Estimation"☆21Feb 29, 2024Updated 2 years ago
- Targeted Data Generation with Large Language Models☆19Jun 25, 2024Updated last year
- ☆20Nov 3, 2024Updated last year
- ☆21Jun 27, 2024Updated last year
- [NeurIPS 2024] | An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding☆22Oct 10, 2024Updated last year
- ☆96Nov 6, 2024Updated last year
- Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"☆51Nov 18, 2025Updated 3 months ago
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆134Jan 31, 2026Updated last month
- A new dataset of difficult graduate-level applied mathematics problems; evaluations demonstrate that leading LLMs currently exhibit low a…☆26Feb 14, 2025Updated last year
- ☆51Jan 24, 2024Updated 2 years ago
- Collection of papers for scalable automated alignment.☆93Oct 22, 2024Updated last year
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)☆50Dec 15, 2023Updated 2 years ago
- Simple and scalable tools for data-driven pretraining data selection.☆29Jun 9, 2025Updated 8 months ago
- [ACL 2025 Main] Official Repo for Paper "Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric"☆36Feb 10, 2026Updated 3 weeks ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Mar 28, 2024Updated last year
- ☆23Aug 7, 2023Updated 2 years ago
- ☆28May 24, 2025Updated 9 months ago
- Few-shot Learning with Auxiliary Data☆31Dec 8, 2023Updated 2 years ago
- A list of papers about data quality in Large Language Models (LLMs)☆27Dec 14, 2023Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆201Dec 8, 2025Updated 2 months ago
- ☆64Apr 9, 2024Updated last year
- Automatic prompt optimization framework for multi-step agent tasks.☆36Nov 12, 2024Updated last year
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Oct 27, 2024Updated last year
- Official code implementation for the ACL 2025 paper: 'CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis'☆32May 19, 2025Updated 9 months ago
- Llama-3-SynE: A Significantly Enhanced Version of Llama-3 with Advanced Scientific Reasoning and Chinese Language Capabilities | 继续预训练提升 …☆37May 31, 2025Updated 9 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆74Apr 22, 2025Updated 10 months ago
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆416Jun 25, 2025Updated 8 months ago