conftrace_

prompt optimization

190 papers

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Also known as

PO

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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

Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks AAAI 2026
UniAPO: Unified Multimodal Automated Prompt Optimization AAAI 2026
LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts EACL 2026
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems AAAI 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems AAAI 2026
Rethinking Prompt Optimizers: From Prompt Merits to Optimization EACL 2026
promptolution: A Unified, Modular Framework for Prompt Optimization EACL 2026
Feedback-Aware Prompt Optimization Framework for Generating Job Postings EACL 2026
POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs EACL 2026
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation AAAI 2026
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models AAAI 2026
Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs AAAI 2026
Do language models accommodate their users? A study of linguistic convergence EACL 2026
Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers EACL 2026
Don’t Generate, Classify! Low-Latency Prompt Optimization with Structured Complementary Prompt EACL 2026
When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026
Thesis Proposal: Measuring Prejudice at Scale EACL 2026
PromptPrism: A Linguistically-Inspired Taxonomy for Prompts EACL 2026
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference EACL 2026
Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models EACL 2026
CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent EACL 2026
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models AAAI 2026
MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization AAAI 2026
MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution ACL 2026