In-Context Learning

ReAct Meets Industrial IoT: Language Agents for Data Access EMNLP 2025 ReadCtrl: Personalizing text generation with readability-controlled instruction learning NAACL 2025 Referential ambiguity and clarification requests: comparing human and LLM behaviour EMNLP 2025 ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents EMNLP 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Retrieval-Enhanced Mental Health Assessment: Capturing Self-State Dynamics from Social Media Using In-Context Learning NAACL 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Revisiting In-Context Learning with Long Context Language Models ACL 2025 RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025 RL + Transformer = A General-Purpose Problem Solver ACL 2025 s1: Simple test-time scaling EMNLP 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting NAACL 2025 Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025 Self-Guided Function Calling in Large Language Models via Stepwise Experience Recall EMNLP 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation ACL 2025 SOCIAL SCAFFOLDS: A Generalization Framework for Social Understanding Tasks EMNLP 2025 Sparse Activation Editing for Reliable Instruction Following in Narratives EMNLP 2025 SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment ACL 2025 SQUiD: Synthesizing Relational Databases from Unstructured Text EMNLP 2025 STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025 STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing ACL 2025 Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025 Surprise Calibration for Better In-Context Learning EMNLP 2025