| license: cc-by-nc-4.0 | |
| language: | |
| - en | |
| tags: | |
| - instruction following | |
| - multi-turn | |
| - LLM | |
| - rubric-based | |
| ### Dataset Summary | |
| We introduce AdvancedIF, a new benchmark featuring over 1,600 prompts and expert-curated rubric designed to assess LLMs' proficiency in | |
| * Complex instruction following: each prompt has 6+ instructions with combination | |
| of one, format, style, structure, length, negative constraints, spelling, and inter-conditional instructions; | |
| * Multi-turn instruction following: the ability to follow instruction carried from previous; | |
| * System prompt steerability: The ability to follow instructions in the system prompt. | |
| See paper for full details: | |
| [AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following](https://arxiv.org/abs/2511.10507) | |
| ### Evaluation Script | |
| https://github.com/facebookresearch/AdvancedIF | |
| ### Data Splits | |
| * test: 1,645 examples |