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 651–660 of 1135 papers

TitleStatusHype
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models—0
From Persona to Personalization: A Survey on Role-Playing Language Agents—0
URL: Universal Referential Knowledge Linking via Task-instructed Representation CompressionCode0
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language ModelsCode2
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models—0
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following—0
The Instruction Hierarchy: Training LLMs to Prioritize Privileged InstructionsCode1
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V—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