IFEval

Instruction-Following Eval — prompts with verifiable constraints (word counts, formats, etc.) for objective, automatic scoring.

Papers using IFEval (16)

PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling2025 · 4 citesSelf-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship2026Improving LLMs via Validator-to-Generator Alignment2026NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research2026The Price of Format: Diversity Collapse in LLMs2025 · 2 citesBoosting Large Language Models with Mask Fine-Tuning2025VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models2026Revisiting the Reliability of Language Models in Instruction-Following2025Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models2025Sample, Don't Search: Rethinking Test-Time Alignment for Language Models2025MM-IFEngine: Towards Multimodal Instruction Following2025LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models2025IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards2025Effectively Controlling Reasoning Models through Thinking Intervention2025M-IFEval: Multilingual Instruction-Following Evaluation2025Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following2024 · 5 cites