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 781–790 of 1135 papers

TitleStatusHype
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
Self-Rewarding Language ModelsCode1
SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language ModelCode2
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective AnalysisCode2
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities—0
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationCode1
InFoBench: Evaluating Instruction Following Ability in Large Language ModelsCode2
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models—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