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 401–425 of 1135 papers

TitleStatusHype
InfMLLM: A Unified Framework for Visual-Language TasksCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
Infer Human's Intentions Before Following Natural Language InstructionsCode1
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingCode1
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction FollowingCode1
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal DissectionCode1
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt TuningCode1
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse PlanningCode1
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
IHEval: Evaluating Language Models on Following the Instruction HierarchyCode1
An In-depth Look at Gemini's Language AbilitiesCode1
Incentivizing Reasoning for Advanced Instruction-Following of Large Language ModelsCode1
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient GenerationCode1
PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyCode1
Bridging and Modeling Correlations in Pairwise Data for Direct Preference OptimizationCode1
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object ScenariosCode1
Personalized Language Modeling from Personalized Human FeedbackCode1
Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space TransformationCode1
Creative Agents: Empowering Agents with Imagination for Creative TasksCode1
Hybrid Alignment Training for Large Language ModelsCode1
Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningCode1
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and FeedbackCode1
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn DialoguesCode1
Do LLMs "know" internally when they follow instructions?Code1
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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