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

OneNRC@TSAR2025 Shared Task Small Models for Readability Controlled Text Simplification EMNLP 2025
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks AAAI 2025
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter AAAI 2025
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning AAAI 2025
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment AAAI 2025
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution AAAI 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs COLING 2025
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization ACL 2025
Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading ACL 2025
Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure ACL 2025
Measuring and Mitigating Media Outlet Name Bias in Large Language Models EMNLP 2025
ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities EMNLP 2025
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025
Direct Prompt Optimization with Continuous Representations ACL 2025
ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization EMNLP 2025
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025
Jailbreaking with Universal Multi-Prompts NAACL 2025
Demystifying optimized prompts in language models EMNLP 2025
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization IJCNLP 2025
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective EMNLP 2025
Self-Supervised Prompt Optimization EMNLP 2025
Rule-Guided Extraction: A Hierarchical Rule Optimization Framework for Document-Level Event Argument Extraction EMNLP 2025
MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs ACL 2025