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 701–710 of 1135 papers

TitleStatusHype
Conversational Search: From Fundamentals to Frontiers in the LLM Era—0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
WildChat: 1M ChatGPT Interaction Logs in the Wild—0
Controllable Text-to-Image Generation with GPT-4—0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
Learning Human Perception Dynamics for Informative Robot Communication—0
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models—0
Continual Skill and Task Learning via Dialogue—0
Learning to Instruct for Visual Instruction Tuning—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