FateScript / token_visualizerLinks
Token level visualization tools for large language models
☆91Updated last year
Alternatives and similar repositories for token_visualizer
Users that are interested in token_visualizer are comparing it to the libraries listed below
Sorting:
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆255Updated last year
- Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models☆139Updated last year
- Fantastic Data Engineering for Large Language Models☆93Updated last year
- ☆125Updated last year
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆265Updated 7 months ago
- CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models☆48Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆185Updated 11 months ago
- ☆87Updated 5 months ago
- ☆76Updated last year
- ☆36Updated last year
- Scaling Preference Data Curation via Human-AI Synergy☆139Updated 7 months ago
- Feeling confused about super alignment? Here is a reading list☆44Updated 2 years ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆51Updated last year
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆143Updated 2 months ago
- Official completion of “Training on the Benchmark Is Not All You Need”.☆39Updated last year
- Counting-Stars (★)☆83Updated 2 months ago
- Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning☆86Updated 2 years ago
- ☆51Updated last year
- ☆147Updated last year
- ☆125Updated last year
- Reformatted Alignment☆111Updated last year
- Pretrain、decay、SFT a CodeLLM from scratch 🧙♂️☆40Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 8 months ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆61Updated last year
- Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning☆192Updated 10 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆187Updated 7 months ago
- ☆180Updated 9 months ago
- SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper☆32Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆194Updated last year
- ☆87Updated 2 years ago