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 941–950 of 1135 papers

TitleStatusHype
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
Multi-Level Compositional Reasoning for Interactive Instruction FollowingCode0
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt InjectionCode0
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied AgentsCode1
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World UseCode1
Self-Alignment with Instruction BacktranslationCode1
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—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