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 151–175 of 1135 papers

TitleStatusHype
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions FollowingCode2
LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction TuningCode2
LLark: A Multimodal Instruction-Following Language Model for MusicCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
LLaSM: Large Language and Speech ModelCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction TuningCode2
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language ModelsCode2
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward SystemsCode2
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingCode2
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionCode2
LITA: Language Instructed Temporal-Localization AssistantCode2
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
Archon: An Architecture Search Framework for Inference-Time TechniquesCode2
Learning to Decode Collaboratively with Multiple Language ModelsCode2
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection AttacksCode2
LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input ContextsCode2
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal AlignmentCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticCode2
MM-IFEngine: Towards Multimodal Instruction FollowingCode2
MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingCode2
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
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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