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 971–980 of 1135 papers

TitleStatusHype
DecIF: Improving Instruction-Following through Meta-Decomposition—0
How Many Instructions Can LLMs Follow at Once?—0
How well can LLMs Grade Essays in Arabic?—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought—0
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation—0
Hypencoder: Hypernetworks for Information Retrieval—0
HyperCLOVA X Technical Report—0
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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