prompt engineering

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024 Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation ACL 2024 DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation COLING 2024 Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024 Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models NAACL 2024 Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation ACL 2024 Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024 Do Prompt Positions Really Matter? NAACL 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024 Dual-Phase Accelerated Prompt Optimization EMNLP 2024 Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints NAACL 2024 Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models AAAI 2024 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs EACL 2024 Enhancing Consumer Health Question Reformulation: Chain-of-Thought Prompting Integrating Focus, Type, and User Knowledge Level COLING 2024 Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition EMNLP 2024 Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 Enhancing Text-to-SQL Capabilities of Large Language Models through Tailored Promptings COLING 2024 Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement ACL 2024 Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team EMNLP 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models ACL 2024 ESG Classification by Implicit Rule Learning via GPT-4 COLING 2024