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 361370 of 1135 papers

TitleStatusHype
Self-Evolved Diverse Data Sampling for Efficient Instruction TuningCode1
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language ModelsCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
u-LLaVA: Unifying Multi-Modal Tasks via Large Language ModelCode1
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language ModelsCode1
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy InstructionsCode1
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language ModelsCode1
Making Large Language Models Better Data CreatorsCode1
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly DetectionCode1
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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