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 271–280 of 1135 papers

TitleStatusHype
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
Constraint Back-translation Improves Complex Instruction Following of Large Language ModelsCode1
Large Language Models as Evaluators for Recommendation ExplanationsCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
Combining Modular Skills in Multitask LearningCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
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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