In-Context Learning

Synergistic Prompting for Robust Visual Recognition with Missing Modalities ICCV 2025 Task-Aligned Tool Recommendation for Large Language Models IJCNLP 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis NAACL 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 Thought calibration: Efficient and confident test-time scaling EMNLP 2025 ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025 Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025 Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning NAACL 2025 Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation EMNLP 2025 UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation SemEval 2025 UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion COLING 2025 Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025 UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging EMNLP 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning ICCV 2025 What Makes You CLIC: Detection of Croatian Clickbait Headlines ACL 2025 When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025 Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025 Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs ACL 2025 ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization EMNLP 2025 Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models NAACL 2025 Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations EMNLP 2024