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 331–340 of 1135 papers

TitleStatusHype
ShowUI: One Vision-Language-Action Model for GUI Visual AgentCode5
Parameter Efficient Instruction Tuning: An Empirical StudyCode4
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors—0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy—0
Separable Mixture of Low-Rank Adaptation for Continual Visual Instruction Tuning—0
GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual GroundingCode2
MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus InfectionCode0
MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language ModelsCode0
Adaptive Decoding via Latent Preference Optimization—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