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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 1135 papers

TitleStatusHype
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionCode3
How Can Recommender Systems Benefit from Large Language Models: A SurveyCode3
AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackCode3
MultiModal-GPT: A Vision and Language Model for Dialogue with HumansCode3
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign LanguagesCode3
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language ModelsCode3
Caption Anything: Interactive Image Description with Diverse Multimodal ControlsCode3
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP TasksCode3
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil EngineeringCode2
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal AlignmentCode2
Show:102550
← PrevPage 9 of 114Next →

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