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 10211030 of 1135 papers

TitleStatusHype
WizardLM: Empowering Large Language Models to Follow Complex InstructionsCode5
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLMCode1
Visual Instruction TuningCode6
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model0
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and EvaluationCode5
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following0
Instruction Tuning with GPT-4Code4
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and FeedbackCode1
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyCode6
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models0
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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