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

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Showing 31–40 of 1135 papers

TitleStatusHype
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction FollowingCode5
Instruction-Following Evaluation for Large Language ModelsCode5
ImageBind-LLM: Multi-modality Instruction TuningCode5
MMBench: Is Your Multi-modal Model an All-around Player?Code5
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelCode5
WizardLM: Empowering Large Language Models to Follow Complex InstructionsCode5
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and EvaluationCode5
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionCode5
Self-Instruct: Aligning Language Models with Self-Generated InstructionsCode5
Kwai Keye-VL Technical ReportCode4
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified