SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Showing 221230 of 1135 papers

TitleStatusHype
GIE-Bench: Towards Grounded Evaluation for Text-Guided Image EditingCode1
BLEUBERI: BLEU is a surprisingly effective reward for instruction followingCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language ModelsCode1
MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from TextbooksCode1
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World UsersCode1
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified