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

Showing 351360 of 1135 papers

TitleStatusHype
Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?Code1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
MoDS: Model-oriented Data Selection for Instruction TuningCode1
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction TuningCode1
Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMsCode1
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataCode1
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text GenerationCode1
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable SummarizationCode1
Defending Large Language Models Against Jailbreaking Attacks Through Goal PrioritizationCode1
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified