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 761–770 of 1135 papers

TitleStatusHype
Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningCode1
Personalized Language Modeling from Personalized Human FeedbackCode1
DistiLLM: Towards Streamlined Distillation for Large Language ModelsCode3
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
A Survey on Data Selection for LLM Instruction TuningCode1
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsCode2
Instruction Makes a DifferenceCode0
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias IndicatorsCode0
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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