locuslab / scaling_laws_data_filteringLinks
☆64Updated last year
Alternatives and similar repositories for scaling_laws_data_filtering
Users that are interested in scaling_laws_data_filtering are comparing it to the libraries listed below
Sorting:
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆52Updated 5 months ago
- Exploration of automated dataset selection approaches at large scales.☆47Updated 4 months ago
- Long Context Extension and Generalization in LLMs☆57Updated 9 months ago
- Codebase for Instruction Following without Instruction Tuning☆35Updated 9 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated last month
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆138Updated 9 months ago
- ☆102Updated 9 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 9 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆33Updated 3 months ago
- The repository contains code for Adaptive Data Optimization☆25Updated 7 months ago
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆58Updated 4 months ago
- Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆40Updated last week
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆56Updated last year
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆113Updated this week
- Benchmarking Benchmark Leakage in Large Language Models☆54Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆91Updated last month
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- ☆70Updated 4 months ago
- The code and data for the paper JiuZhang3.0☆47Updated last year
- ☆96Updated 9 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆38Updated 4 months ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆58Updated last year
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆50Updated 7 months ago
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated last year