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 331–340 of 1135 papers

TitleStatusHype
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight DisentanglementCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language ModelsCode1
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
CB2: Collaborative Natural Language Interaction Research PlatformCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Jatmo: Prompt Injection Defense by Task-Specific FinetuningCode1
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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