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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 1135 papers

Title	Date	Tasks	Status	Hype
Code Llama: Open Foundation Models for Code	Aug 24, 2023	16kCode Generation	CodeCode Available	6
QLoRA: Efficient Finetuning of Quantized LLMs	May 23, 2023	ChatbotGPU	CodeCode Available	6
Visual Instruction Tuning	Apr 17, 2023	1 Image, 2*2 Stitching3D Question Answering (3D-QA)	CodeCode Available	6
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention	Mar 28, 2023	Instruction FollowingLanguage Modelling	CodeCode Available	5
ImageBind-LLM: Multi-modality Instruction Tuning	Sep 7, 2023	Instruction FollowingText Generation	CodeCode Available	5
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model	Apr 28, 2023	Instruction Followingmodel	CodeCode Available	5
Instruction-Following Evaluation for Large Language Models	Nov 14, 2023	Instruction Following	CodeCode Available	5
LeVo: High-Quality Song Generation with Multi-Preference Alignment	Jun 9, 2025	Instruction FollowingMusic Generation	CodeCode Available	5
LiveBench: A Challenging, Contamination-Limited LLM Benchmark	Jun 27, 2024	ArticlesInstruction Following	CodeCode Available	5
LAB: Large-Scale Alignment for ChatBots	Mar 2, 2024	Instruction FollowingLanguage Modeling	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AutoIF (Llama3 70B)	Inst-level loose-accuracy	90.4	—	Unverified
2	AutoIF (Qwen2 72B)	Inst-level loose-accuracy	88	—	Unverified
3	GPT-4	Inst-level loose-accuracy	85.37	—	Unverified
4	PaLM 2 S	Inst-level loose-accuracy	59.11	—	Unverified