in-context learning

PhonoThink: Improving Large Language Models’ Reasoning on Chinese Phonological Ambiguities EMNLP 2025 PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection NAACL 2025 PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025 PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation CVPR 2025 Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025 Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs IJCNLP 2025 Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 PRISM: Efficient Long-Range Reasoning With Short-Context LLMs EMNLP 2025 Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks ACL 2025 Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning ACL 2025 ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments EMNLP 2025 Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval EMNLP 2025 Prompting Large Language Models for Italian Clinical Reports: A Benchmark Study ACL 2025 Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languages NAACL 2025 PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks NAACL 2025 Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ACL 2025 PromptWizard: Optimizing Prompts via Task-Aware, Feedback-Driven Self-Evolution ACL 2025 ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom EMNLP 2025 Prosody-Adaptable Audio Codecs for Zero-Shot Voice Conversion via In-Context Learning Interspeech 2025 Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models NAACL 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025