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 551–560 of 1135 papers

TitleStatusHype
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations—0
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators—0
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context—0
Pay More Attention to the Robustness of Prompt for Instruction Data Mining—0
Effectively Controlling Reasoning Models through Thinking Intervention—0
Learning to Instruct for Visual Instruction Tuning—0
Gemma 3 Technical Report—0
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence—0
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsCode0
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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