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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 921–930 of 1135 papers

TitleStatusHype
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following—0
From Persona to Personalization: A Survey on Role-Playing Language Agents—0
Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models—0
From Role-Play to Drama-Interaction: An LLM Solution—0
From Words to Workflows: Automating Business Processes—0
Frustrated with Code Quality Issues? LLMs can Help!—0
Who Taught You That? Tracing Teachers in Model Distillation—0
DNA 1.0 Technical Report—0
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis—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