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 121130 of 1135 papers

TitleStatusHype
OmniBench: Towards The Future of Universal Omni-Language ModelsCode2
Archon: An Architecture Search Framework for Inference-Time TechniquesCode2
SciLitLLM: How to Adapt LLMs for Scientific Literature UnderstandingCode2
Autonomous Improvement of Instruction Following Skills via Foundation ModelsCode2
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian LanguagesCode2
MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingCode2
Benchmarking Complex Instruction-Following with Multiple Constraints CompositionCode2
Dual-Space Knowledge Distillation for Large Language ModelsCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
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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