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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 491–500 of 1135 papers

TitleStatusHype
Bridging and Modeling Correlations in Pairwise Data for Direct Preference OptimizationCode1
IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language ModelsCode0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Creating Arabic LLM Prompts at Scale—0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
Investigating Instruction Tuning Large Language Models on GraphsCode1
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial DescriptionCode0
EXAONE 3.0 7.8B Instruction Tuned Language Model—0
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection—0
1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality DataCode3
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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