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

Showing 381390 of 1135 papers

TitleStatusHype
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
Instruction Position Matters in Sequence Generation with Large Language ModelsCode1
Online Continual Learning For Interactive Instruction Following AgentsCode1
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsCode1
PIVOINE: Instruction Tuning for Open-world Information ExtractionCode1
Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly DetectionCode1
Show:102550
← PrevPage 39 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified