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 751–775 of 1135 papers

TitleStatusHype
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-TuningCode3
Answer is All You Need: Instruction-following Text Embedding via Answering the QuestionCode1
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Policy Improvement using Language Feedback ModelsCode0
AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionCode2
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended TasksCode2
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningCode3
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningCode1
Personalized Language Modeling from Personalized Human FeedbackCode1
DistiLLM: Towards Streamlined Distillation for Large Language ModelsCode3
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
A Survey on Data Selection for LLM Instruction TuningCode1
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsCode2
Instruction Makes a DifferenceCode0
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias IndicatorsCode0
Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding—0
LongAlign: A Recipe for Long Context Alignment of Large Language ModelsCode3
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification RequestsCode0
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing DomainCode2
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—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