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 851–860 of 1135 papers

TitleStatusHype
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM—0
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model—0
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting—0
Effectively Controlling Reasoning Models through Thinking Intervention—0
Efficient Finetuning Large Language Models For Vietnamese Chatbot—0
Sparse Activation Editing for Reliable Instruction Following in Narratives—0
Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data—0
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation—0
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following—0
Embodied Instruction Following in Unknown Environments—0
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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