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 4150 of 1135 papers

TitleStatusHype
LLaMA Pro: Progressive LLaMA with Block ExpansionCode4
SimPO: Simple Preference Optimization with a Reference-Free RewardCode4
A Survey on Vision-Language-Action Models for Embodied AICode4
Instruction Tuning with GPT-4Code4
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesCode4
RewardBench 2: Advancing Reward Model EvaluationCode4
FuseChat: Knowledge Fusion of Chat ModelsCode4
AgentBench: Evaluating LLMs as AgentsCode4
Otter: A Multi-Modal Model with In-Context Instruction TuningCode4
Parameter Efficient Instruction Tuning: An Empirical StudyCode4
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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