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 751–760 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
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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