conftrace_

prompt optimization

190 papers

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Also known as

PO

Co-occurring keywords

large language model (13587) prompt engineering (1135) few-shot learning (3398) in-context learning (1405) reinforcement learning (4352) language model (4599) multi-agent system (1819) text-to-image generation (587) instruction tuning (838) text classification (6793)

Papers

Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023
Guiding Large Language Models via Directional Stimulus Prompting NIPS 2023
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker ACL 2023
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models EMNLP 2023
Prompterator: Iterate Efficiently towards More Effective Prompts EMNLP 2023
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023
Fixed Input Parameterization for Efficient Prompting ACL 2023
Automatic Prompt Optimization with “Gradient Descent” and Beam Search EMNLP 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference NIPS 2023
Optimizing Prompts for Text-to-Image Generation NIPS 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting EMNLP 2023
Unnatural language processing: How do language models handle machine-generated prompts? EMNLP 2023
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022
Prefix-Tuning: Optimizing Continuous Prompts for Generation ACL 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall NAACL 2021