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

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024
Localized Zeroth-Order Prompt Optimization NIPS 2024
Black-Box Forgetting NIPS 2024
Self-Renewal Prompt Optimizing with Implicit Reasoning EMNLP 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024
CRCL at SemEval-2024 Task 2: Simple prompt optimizations SEMEVAL 2024
Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars NIPS 2024
IPO: Interpretable Prompt Optimization for Vision-Language Models NIPS 2024
PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search COLING 2024
AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction NAACL 2024
CRCL at SemEval-2024 Task 2: Simple prompt optimizations NAACL 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation NAACL 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning NIPS 2024
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models EMNLP 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023
The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023