hamishivi / automated-instruction-selectionLinks
Exploration of automated dataset selection approaches at large scales.
☆47Updated 7 months ago
Alternatives and similar repositories for automated-instruction-selection
Users that are interested in automated-instruction-selection are comparing it to the libraries listed below
Sorting:
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆35Updated last week
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 8 months ago
- ☆50Updated 8 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆103Updated 2 weeks ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 6 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆114Updated 5 months ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆30Updated 2 months ago
- Benchmarking Benchmark Leakage in Large Language Models☆55Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆142Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆88Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆121Updated 6 months ago
- [NeurIPS 2025 Spotlight] ReasonFlux-Coder: Open-Source LLM Coders with Co-Evolving Reinforcement Learning☆126Updated last month
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 6 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"☆64Updated 8 months ago
- ☆23Updated 10 months ago
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆56Updated 7 months ago
- Reinforcing General Reasoning without Verifiers☆91Updated 4 months ago
- ☆100Updated last year
- ☆20Updated 2 months ago
- ☆33Updated 9 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆177Updated 3 months ago
- ☆65Updated last year
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆65Updated 8 months ago
- ☆52Updated 6 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆68Updated last year
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆67Updated 5 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 9 months ago