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 / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆47Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆32Updated 6 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆58Updated 11 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated 2 years ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆58Updated last year
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆42Updated last month
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆120Updated 8 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆147Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 8 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆71Updated 11 months ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆110Updated 3 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆124Updated 10 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆50Updated 11 months ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆60Updated 11 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆85Updated 8 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• yyDing1 / ScaleQuest
  [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…
  ☆68Updated last year
• mandyyyyii / east
  ☆19Updated 6 months ago
• GAIR-NLP / benbench
  Benchmarking Benchmark Leakage in Large Language Models
  ☆58Updated last year
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆93Updated 7 months ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆57Updated last year
• Infini-AI-Lab / S2FT
  ☆19Updated last year
• GAIR-NLP / AIME-Preview
  ☆80Updated 10 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 11 months ago
• yale-nlp / refdpo
  ☆16Updated last year