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 491–500 of 1135 papers

TitleStatusHype
DecIF: Improving Instruction-Following through Meta-Decomposition—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy—0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
InstructionCP: A fast approach to transfer Large Language Models into target language—0
DataMan: Data Manager for Pre-training Large Language Models—0
Instruction Following by Boosting Attention of Large Language Models—0
AdaGrad under Anisotropic Smoothness—0
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control—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