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 781–790 of 1135 papers

TitleStatusHype
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?—0
Keypoints-Integrated Instruction-Following Data Generation for Enhanced Human Pose Understanding in Multimodal Models—0
AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMsCode0
RNR: Teaching Large Language Models to Follow Roles and Rules—0
Leveraging LLMs for Influence Path Planning in Proactive Recommendation—0
Continual Skill and Task Learning via Dialogue—0
Prompt Baking—0
Self-Judge: Selective Instruction Following with Alignment Self-EvaluationCode0
Language Models Benefit from Preparation with Elicited Knowledge—0
Does Alignment Tuning Really Break LLMs' Internal Confidence?Code0
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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