Alternatives and similar repositories for iterative-data-selection

Users that are interested in iterative-data-selection are comparing it to the libraries listed below

• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆51Updated 9 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
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆56Updated 10 months ago
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆31Updated 4 months ago
• yihedeng9 / DuoGuard
  DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails
  ☆29Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆20Updated 2 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆34Updated last year
• gl-ybnbxb / BoNBoN
  ☆18Updated last year
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆64Updated last year
• 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
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 6 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 10 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆39Updated last year
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆52Updated last year
• princeton-pli / MeCo
  Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆48Updated 5 months ago
• uservan / ThinkPO
  ☆17Updated 4 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• general-preference / general-preference-model
  [ICML 2025] Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment (https://arxiv.org/abs/2410.02197)
  ☆36Updated 3 months ago
• xiatingyu / SFT-DataSelection-at-scale
  ☆32Updated 10 months ago
• googleinterns / localizing-paragraph-memorization
  ☆15Updated last year
• Linzwcs / AFT
  ☆13Updated 11 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years 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…
  ☆60Updated 3 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆86Updated 9 months ago
• mathllm / Step-Controlled_DPO
  ☆23Updated last year
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆38Updated last year
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆60Updated 6 months ago