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 371–380 of 1135 papers

TitleStatusHype
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code GeneratorsCode1
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language ModelsCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User InterfacesCode1
Investigating Instruction Tuning Large Language Models on GraphsCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
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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