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 411–420 of 1135 papers

TitleStatusHype
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn DialoguesCode1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Do LLMs "know" internally when they follow instructions?Code1
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataCode1
Guiding Multi-Step Rearrangement Tasks with Natural Language InstructionsCode1
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech SystemsCode1
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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