QwenLM / AutoIFLinks
☆314Updated last year
Alternatives and similar repositories for AutoIF
Users that are interested in AutoIF are comparing it to the libraries listed below
Sorting:
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆263Updated 4 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆281Updated 2 years ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆181Updated 4 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆574Updated 11 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆256Updated 10 months ago
- Generative Judge for Evaluating Alignment☆247Updated last year
- ☆326Updated 5 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆266Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆477Updated last year
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆190Updated last year
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆400Updated 4 months ago
- ☆320Updated last year
- ☆342Updated 5 months ago
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆140Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆125Updated last year
- Code implementation of synthetic continued pretraining☆137Updated 10 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆355Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆187Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆355Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆176Updated 5 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆192Updated last year
- Evaluating LLMs' multi-round chatting capability via assessing conversations generated by two LLM instances.☆158Updated 5 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆500Updated last year
- ☆130Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆70Updated 6 months ago
- ☆212Updated 8 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆176Updated 8 months ago
- [ACL2024] T-Eval: Evaluating Tool Utilization Capability of Large Language Models Step by Step☆297Updated last year
- Counting-Stars (★)☆83Updated 5 months ago
- ☆172Updated 6 months ago