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 376–400 of 1135 papers

TitleStatusHype
Inferring Rewards from Language in ContextCode1
MergeBench: A Benchmark for Merging Domain-Specialized LLMsCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
Infer Human's Intentions Before Following Natural Language InstructionsCode1
Personalized Language Modeling from Personalized Human FeedbackCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
Incentivizing Reasoning for Advanced Instruction-Following of Large Language ModelsCode1
A Recipe For Building a Compliant Real Estate ChatbotCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction FollowingCode1
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorsCode1
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated TextCode1
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and DialogueCode1
Efficient Inference of Vision Instruction-Following Models with Elastic CacheCode1
Instruct and Extract: Instruction Tuning for On-Demand Information ExtractionCode1
IDA-Bench: Evaluating LLMs on Interactive Guided Data AnalysisCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
Hybrid Alignment Training for Large Language ModelsCode1
On the Exploitability of Instruction TuningCode1
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language ModelsCode1
LoGU: Long-form Generation with Uncertainty ExpressionsCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
Online Preference Alignment for Language Models via Count-based ExplorationCode1
Online Continual Learning For Interactive Instruction Following AgentsCode1
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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