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 201–210 of 1135 papers

TitleStatusHype
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsCode2
SciLitLLM: How to Adapt LLMs for Scientific Literature UnderstandingCode2
BLSP-Emo: Towards Empathetic Large Speech-Language ModelsCode2
Aligning Modalities in Vision Large Language Models via Preference Fine-tuningCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
EditWorld: Simulating World Dynamics for Instruction-Following Image EditingCode2
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene UnderstandingCode2
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context 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