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 731–740 of 1135 papers

TitleStatusHype
Compositional Data and Task Augmentation for Instruction Following—0
CompBench: Benchmarking Complex Instruction-guided Image Editing—0
Comparison Visual Instruction Tuning—0
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
Collaborative decoding of critical tokens for boosting factuality of large language models—0
ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs—0
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following—0
LLaVA-c: Continual Improved Visual Instruction Tuning—0
LLaVA-Critic: Learning to Evaluate Multimodal Models—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