Alternatives and similar repositories for AutoIF

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

• GAIR-NLP / ProX
  [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
  ☆263Updated 5 months ago
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆283Updated 2 years ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆184Updated 6 months ago
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆579Updated last year
• THUDM / LongAlign
  [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs
  ☆257Updated last year
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆248Updated last year
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆270Updated last year
• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆144Updated 2 weeks ago
• eddycmu / demystify-long-cot
  ☆329Updated 7 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆181Updated 10 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆359Updated 2 years ago
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆135Updated last year
• OpenBMB / InfiniteBench
  Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
  ☆368Updated last year
• MARIO-Math-Reasoning / Super_MARIO
  ☆340Updated 7 months ago
• OpenBMB / Eurus
  ☆320Updated last year
• SqueezeAILab / LLM2LLM
  [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
  ☆192Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆511Updated last year
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆412Updated 6 months ago
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆482Updated last year
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆193Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆197Updated 3 weeks ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆447Updated last year
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆181Updated 7 months ago
• LCLM-Horizon / A-Comprehensive-Survey-For-Long-Context-Language-Modeling
  A Comprehensive Survey on Long Context Language Modeling
  ☆216Updated last month
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆168Updated last year
• BrendanGraham14 / mcts-llm
  ☆130Updated last year
• OpenLMLab / LEval
  [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
  ☆391Updated last year
• cmu-l3 / l1
  L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
  ☆257Updated 7 months ago
• NumberChiffre / mcts-llm
  ☆96Updated last year
• GAIR-NLP / LIMR
  ☆215Updated 10 months ago