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 261–270 of 1135 papers

TitleStatusHype
GATEAU: Selecting Influential Samples for Long Context AlignmentCode1
LoGU: Long-form Generation with Uncertainty ExpressionsCode1
Do LLMs "know" internally when they follow instructions?Code1
RuleRAG: Rule-guided retrieval-augmented generation with language models for question answeringCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Reward-Augmented Data Enhances Direct Preference Alignment of LLMsCode1
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal DissectionCode1
A Recipe For Building a Compliant Real Estate ChatbotCode1
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE FrameworkCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
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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