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 801–810 of 1135 papers

TitleStatusHype
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language ModelsCode0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
Creating Arabic LLM Prompts at Scale—0
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial DescriptionCode0
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection—0
EXAONE 3.0 7.8B Instruction Tuned Language Model—0
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback—0
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments—0
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language ModelsCode0
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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