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 701–710 of 1135 papers

TitleStatusHype
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal ModelsCode1
Online Continual Learning For Interactive Instruction Following AgentsCode1
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—0
Aligners: Decoupling LLMs and AlignmentCode0
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning—0
Learning to Decode Collaboratively with Multiple Language ModelsCode2
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code GeneratorsCode1
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions—0
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in ClassificationCode0
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following—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