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Machine Learning
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Learning Types
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Prompt Engineering
273 papers
Papers per year
2021: 1
1
2022: 31
31
2023: 66
66
2024: 77
77
2025: 97
97
2026: 1
1
Papers
GRIPF at TSAR 2025 Shared Task Towards controlled CEFR level simplification with the help of inter-model interactions
EMNLP 2025
ITU NLP at TSAR 2025 Shared Task A Three-Stage Prompting Approach for CEFR-Oriented Text Simplification
EMNLP 2025
STARLING at TSAR 2025 Shared Task Leveraging Alternative Generations for Readability Level Adjustment in Text Simplification
EMNLP 2025
taskGen at TSAR 2025 Shared Task Exploring prompt strategies with linguistic knowledge
EMNLP 2025
EasyJon at TSAR 2025 Shared Task Evaluation of Automated Text Simplification with LLM-as-a-Judge
EMNLP 2025
HULAT-UC3M at TSAR 2025 Shared Task A Prompt-Based Approach using Lightweight Language Models for Readability-Controlled Text Simplification
EMNLP 2025
OUNLP at TSAR 2025 Shared Task Multi-Round Text Simplifier via Code Generation
EMNLP 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning
ICCV 2025
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
ICCV 2025
Differentiable Prompt Learning for Vision Language Models
IJCAI 2025
Structured Outputs in Prompt Engineering: Enhancing LLM Adaptability on Counterintuitive Instructions
IJCNLP 2025
Self-Harmonized Chain of Thought
NAACL 2025
Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models
NAACL 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
NAACL 2025
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs
NAACL 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
Machine Translation Using Grammar Materials for LLM Post-Correction
NAACL 2025
Prompt Engineering for Capturing Dynamic Mental Health Self States from Social Media Posts
NAACL 2025
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
NAACL 2025
Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning
NAACL 2025
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
NAACL 2025
gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification
SEMEVAL 2025
Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios
WACV 2025
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NIPS 2024
Vector Quantization Prompting for Continual Learning
NIPS 2024
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