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← Learning Types
Deep Learning
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Learning Types
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Prompt Engineering
136 papers
Papers per year
2022: 21
21
2023: 34
34
2024: 44
44
2025: 31
31
2026: 6
6
Papers
UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation
ACL 2025
Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
ACL 2025
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video Understanding
CVPR 2025
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
CVPR 2025
Vision-Language Model IP Protection via Prompt-based Learning
CVPR 2025
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning
CVPR 2025
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
EMNLP 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
EMNLP 2025
Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
EMNLP 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Prior Prompt Engineering for Reinforcement Fine-Tuning
EMNLP 2025
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
EMNLP 2025
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
NIPS 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
Localized Zeroth-Order Prompt Optimization
NIPS 2024
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
AAAI 2024
Domain-Controlled Prompt Learning
AAAI 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
AAAI 2024
COMMA: Co-articulated Multi-Modal Learning
AAAI 2024
Learning to Learn Better Visual Prompts
AAAI 2024
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization
AAAI 2024
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
AAAI 2024
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
AAAI 2024
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
AAAI 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
AAAI 2024
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