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 541–550 of 1135 papers

TitleStatusHype
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents—0
LiveBench: A Challenging, Contamination-Limited LLM BenchmarkCode5
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment—0
Suri: Multi-constraint Instruction Following for Long-form Text GenerationCode1
Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation—0
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens—0
Following Length Constraints in Instructions—0
Dual-Space Knowledge Distillation for Large Language ModelsCode2
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language ModelsCode1
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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