Prompt Engineering

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting ACL 2026 Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation ACL 2026 Beyond Instruction Optimization: Multi-Agent Error-Driven Class Description Refinement for LLM-Based Classification ACL 2026 CASPA: Graph-Structured Concept Anchors for Modality-Agnostic Adaptation in Vision-Language Models CVPR 2026 Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models CVPR 2026 COPYLENS: Towards Copyrighted Characters Infringement Detection via Copyright-Aware Prompt Learning CVPR 2026 FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation CVPR 2026 FunnyBorg at SemEval-2026 Task 1: Humor Generation SemEval 2026 Hidetsune at SemEval-2026 Task 10: A Systematic Exploration of Training and Inference Strategies for Detecting Conspiracy Beliefs SemEval 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 Interpretable Prompts made Edit-Friendly: Token-to-Token Similarity Reduction in dLLMs for Edit-Friendly Hard Prompt Inversion CVPR 2026 Is Parameter Isolation Better for Prompt-Based Continual Learning? CVPR 2026 IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering ACL 2026 Lattice at SemEval-2026 Task 1: Why did the prompt engineer break up with their LLM? Because zero-shot was zero-fun. SemEval 2026 LocuPrompt at SemEval-2026 Task 7: A Multilingual Prompting Framework for Cross-Cultural Everyday Knowledge in LLMs SemEval 2026 Merlin’s Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting ACL 2026 Model Agnostic Graph Prompt Learning for Crystal Property Prediction UAI 2026 Parameterized Prompt for Incremental Object Detection CVPR 2026 PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment CVPR 2026 Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation CVPR 2026 STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models CVPR 2026 TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models CVPR 2026 Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification ACL 2026 ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting CVPR 2026 wangkongqiang at SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures SemEval 2026