Alternatives and similar repositories for scaling-with-vocab

Users that are interested in scaling-with-vocab are comparing it to the libraries listed below

• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆83Updated last year
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆139Updated 10 months ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆92Updated last week
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆86Updated 8 months ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆53Updated 5 months ago
• imagination-research / lbt
  [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
  ☆52Updated 8 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆76Updated 4 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆59Updated 5 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆38Updated 5 months ago
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆72Updated 8 months ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆161Updated 2 weeks ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 9 months ago
• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆87Updated 3 months ago
• Infini-AI-Lab / Multiverse
  ☆81Updated last week
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆114Updated 4 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 5 months ago
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains
  ☆156Updated last month
• SalesforceAIResearch / GemFilter
  ☆83Updated 6 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆58Updated 10 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆52Updated 5 months ago
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆212Updated 6 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated 10 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆169Updated 3 weeks ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• uservan / ThinkPO
  ☆18Updated this week
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆53Updated 8 months ago