Alternatives and similar repositories for automated-instruction-selection

Users that are interested in automated-instruction-selection are comparing it to the libraries listed below

• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆33Updated 3 months ago
• katiekang1998 / reasoning_generalization
  ☆33Updated 6 months ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 3 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated 9 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆86Updated 9 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆58Updated 4 months ago
• architsharma97 / dpo-rlaif
  ☆98Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 5 months ago
• google-deepmind / bbeh
  ☆83Updated 2 months ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆54Updated last year
• HypherX / Evolution-Analysis
  ☆22Updated 7 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆137Updated last week
• LAMDASZ-ML / Self-Backtracking
  ☆47Updated 5 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆56Updated 2 months ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆91Updated 2 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆108Updated 5 months ago
• test-time-interaction / TTI
  ☆48Updated last month
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆71Updated 3 weeks ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆51Updated 4 months ago
• ScalerLab / JudgeBench
  ☆87Updated 8 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆52Updated 5 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆82Updated last month
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆57Updated 9 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆60Updated 5 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆112Updated 3 months ago
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆26Updated 3 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆138Updated 9 months ago