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 361–370 of 1135 papers

TitleStatusHype
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form PlanningCode1
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Mosaic-IT: Free Compositional Data Augmentation Improves Instruction TuningCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Hybrid Alignment Training for Large Language ModelsCode1
MoDS: Model-oriented Data Selection for Instruction TuningCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
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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