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Prompt Engineering

273 directly classified papers

Papers per year

Papers

Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation ICCV 2025
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models COLING 2025
ADO: Automatic Data Optimization for Inputs in LLM Prompts ACL 2025
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection COLING 2025
Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring ACL 2025
Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models COLING 2025
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models AAAI 2025
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts AAAI 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025
Diffusion Model Patching via Mixture-of-Prompts AAAI 2025
GRIPF at TSAR 2025 Shared Task Towards controlled CEFR level simplification with the help of inter-model interactions EMNLP 2025
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering ACL 2025
Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025
Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios WACV 2025
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications EMNLP 2025
Self-Harmonized Chain of Thought NAACL 2025
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025
HULAT-UC3M at TSAR 2025 Shared Task A Prompt-Based Approach using Lightweight Language Models for Readability-Controlled Text Simplification EMNLP 2025
Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models NAACL 2025
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection NAACL 2025
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation EMNLP 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025