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 341–350 of 1135 papers

TitleStatusHype
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Lana: A Language-Capable Navigator for Instruction Following and GenerationCode1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
Finding Blind Spots in Evaluator LLMs with Interpretable ChecklistsCode1
A Survey on Data Selection for LLM Instruction TuningCode1
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction TuningCode1
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language ModelsCode1
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation LearningCode1
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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