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 801–810 of 1135 papers

Title	Date	Tasks	Status	Hype
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling	Dec 23, 2023	Instruction FollowingLanguage Modeling	CodeCode Available	3
Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning	Dec 22, 2023	Instruction FollowingMixture-of-Experts	CodeCode Available	2
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step	Dec 21, 2023	Instruction FollowingRetrieval	CodeCode Available	2
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding	Dec 21, 2023	Instruction FollowingLanguage Modeling	—Unverified	0
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning	Dec 19, 2023	DiversityInstruction Following	—Unverified	0
An In-depth Look at Gemini's Language Abilities	Dec 18, 2023	Instruction FollowingMath	CodeCode Available	1
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts	Dec 17, 2023	Instruction Following	CodeCode Available	1
Rethinking the Instruction Quality: LIFT is What You Need	Dec 12, 2023	Code GenerationInstruction Following	—Unverified	0
LMDrive: Closed-Loop End-to-End Driving with Large Language Models	Dec 12, 2023	Autonomous DrivingInstruction Following	CodeCode Available	2
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning	Dec 12, 2023	Instruction Following	—Unverified	0

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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