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

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs COLING 2025
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs NAACL 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models NAACL 2025
Local Prompt Optimization NAACL 2025
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting NAACL 2025
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models NAACL 2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization ICCV 2025
Exploring Task-Level Optimal Prompts for Visual In-Context Learning AAAI 2025
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection ACL 2025
Tree-of-Prompts: Abstracting Control-Flow for Prompt Optimization ACL 2025
Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs ACL 2025
PromptWizard: Optimizing Prompts via Task-Aware, Feedback-Driven Self-Evolution ACL 2025
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers ACL 2025
MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs ACL 2025
Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey ACL 2025
A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents ACL 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators ACL 2025
Demystifying optimized prompts in language models EMNLP 2025
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective EMNLP 2025
Rule-Guided Extraction: A Hierarchical Rule Optimization Framework for Document-Level Event Argument Extraction EMNLP 2025
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey EMNLP 2025
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents EMNLP 2025
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs EMNLP 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs AAAI 2025