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 131140 of 1135 papers

TitleStatusHype
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
Dual-Space Knowledge Distillation for Large Language ModelsCode2
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language ModelsCode2
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
EditWorld: Simulating World Dynamics for Instruction-Following Image EditingCode2
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language ModelCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
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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