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 171180 of 1135 papers

TitleStatusHype
Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-TuningCode2
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by StepCode2
LMDrive: Closed-Loop End-to-End Driving with Large Language ModelsCode2
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
To See is to Believe: Prompting GPT-4V for Better Visual Instruction TuningCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
PhoGPT: Generative Pre-training for VietnameseCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
LLark: A Multimodal Instruction-Following Language Model for MusicCode2
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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