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 110 of 1135 papers

TitleStatusHype
Qwen2.5 Technical ReportCode13
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsCode13
Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language ModelsCode11
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingCode11
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMsCode11
Let Them Talk: Audio-Driven Multi-Person Conversational Video GenerationCode7
HealthBench: Evaluating Large Language Models Towards Improved Human HealthCode7
Chinese-Vicuna: A Chinese Instruction-following Llama-based ModelCode7
Qwen2.5-Omni Technical ReportCode7
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildCode7
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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