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 971–980 of 1135 papers

TitleStatusHype
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey—0
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding—0
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning—0
Rethinking the Instruction Quality: LIFT is What You Need—0
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning—0
InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction FollowingCode0
Aligner: One Global Token is Worth Millions of Parameters When Aligning Large Language Models—0
Localized Symbolic Knowledge Distillation for Visual Commonsense ModelsCode0
Text as Image: Learning Transferable Adapter for Multi-Label Classification—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