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 1111–1120 of 1135 papers

TitleStatusHype
LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information—0
LLM-AD: Large Language Model based Audio Description System—0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?—0
Large Language Model Compression with Neural Architecture Search—0
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
LLMs can be easily Confused by Instructional Distractions—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