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 151160 of 1135 papers

TitleStatusHype
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement LearningCode2
Effectively Controlling Reasoning Models through Thinking Intervention0
Pay More Attention to the Robustness of Prompt for Instruction Data Mining0
Learning to Instruct for Visual Instruction Tuning0
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
Qwen2.5-Omni Technical ReportCode7
Gemma 3 Technical Report0
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildCode7
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence0
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsCode0
Show:102550
← PrevPage 16 of 114Next →

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