prompt optimization

Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization EMNLP 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extraction EMNLP 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Universal Prompt Optimizer for Safe Text-to-Image Generation NAACL 2024 Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction NAACL 2024 Automatic Prompt Optimization with “Gradient Descent” and Beam Search EMNLP 2023 Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker ACL 2023 Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting EMNLP 2023 Fixed Input Parameterization for Efficient Prompting ACL 2023 Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models EMNLP 2023 Guiding Large Language Models via Directional Stimulus Prompting NeurIPS 2023 Joint Prompt Optimization of Stacked LLMs using Variational Inference NeurIPS 2023 MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023 Optimizing Prompts for Text-to-Image Generation NeurIPS 2023 Prompterator: Iterate Efficiently towards More Effective Prompts EMNLP 2023 RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models EMNLP 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023 Unnatural language processing: How do language models handle machine-generated prompts? EMNLP 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners ICLR 2022