Alternatives and similar repositories for regmix

Users that are interested in regmix are comparing it to the libraries listed below

• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆174Updated 11 months ago
• yegcjs / mixinglaws
  ☆100Updated 8 months ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆153Updated 8 months ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆77Updated last year
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆153Updated 11 months ago
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆91Updated 10 months 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 7 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆184Updated 2 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆78Updated 4 months ago
• songmzhang / DSKD
  Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…
  ☆52Updated 6 months ago
• TsinghuaC3I / Intuitive-Fine-Tuning
  [ACL 2025, Main Conference] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆28Updated 10 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆73Updated last week
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆35Updated 8 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆47Updated 2 months ago
• yuleiqin / fantastic-data-engineering
  Fantastic Data Engineering for Large Language Models
  ☆88Updated 5 months ago
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆48Updated 11 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆141Updated 7 months ago
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆110Updated 4 months ago
• AlphaPav / mem-kk-logic
  On Memorization of Large Language Models in Logical Reasoning
  ☆65Updated 2 months ago
• SparkJiao / llama-pipeline-parallel
  A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…
  ☆55Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆164Updated last year
• pldlgb / nuggets
  ☆81Updated last year
• inclusionAI / PromptCoT
  ☆50Updated this week
• LCLM-Horizon / A-Comprehensive-Survey-For-Long-Context-Language-Modeling
  A Comprehensive Survey on Long Context Language Modeling
  ☆147Updated last week
• QwenLM / online_merging_optimizers
  Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
  ☆75Updated 11 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆61Updated 5 months ago
• xiatingyu / SFT-DataSelection-at-scale
  ☆29Updated 3 months ago
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆80Updated last year
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆155Updated last week
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆68Updated 2 weeks ago