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 1001–1010 of 1135 papers

TitleStatusHype
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models—0
Inference-Time Language Model Alignment via Integrated Value Guidance—0
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization—0
Data Diversity Matters for Robust Instruction Tuning—0
InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training—0
InsightEdit: Towards Better Instruction Following for Image Editing—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following—0
InstructBooth: Instruction-following Personalized Text-to-Image Generation—0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—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