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Prompt Engineering

64 directly classified papers

Papers per year

Papers

Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework EMNLP 2024
“What is the value of templates?” Rethinking Document Information Extraction Datasets for LLMs EMNLP 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting EMNLP 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NIPS 2024
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NIPS 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
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024
Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023
ADEPT: A DEbiasing PrompT Framework AAAI 2023
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation AAAI 2023
Hard Sample Aware Prompt-Tuning ACL 2023
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning ACL 2023
Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023
Exploration of multilingual prompts in document-grounded dialogue ACL 2023
Diversity-Aware Meta Visual Prompting CVPR 2023
Multimodal Prompting With Missing Modalities for Visual Recognition CVPR 2023
Visual Prompt Tuning for Generative Transfer Learning CVPR 2023
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition EMNLP 2023
Frugal Prompting for Dialog Models EMNLP 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt EMNLP 2023