in-context learning

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization CVPR 2025 TabFlex: Scaling Tabular Learning to Millions with Linear Attention ICML 2025 TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation ACL 2025 TabICL: A Tabular Foundation Model for In-Context Learning on Large Data ICML 2025 TableKV: KV Cache Compression for In-Context Table Processing ACL 2025 TANGO: Training-free Embodied AI Agents for Open-world Tasks CVPR 2025 TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data ACL 2025 Task Descriptors Help Transformers Learn Linear Models In-Context ICLR 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models COLING 2025 Teaching VLMs to Localize Specific Objects from In-context Examples ICCV 2025 TeamB2B at BLP-2025 Task 2: BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation AACL 2025 Team ISM at CLPsych 2025: Capturing Mental Health Dynamics from Social Media Timelines using A Pretrained Large Language Model with In-Context Learning NAACL 2025 TeleAI at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection with Prompt Engineering and Data Augmentation SemEval 2025 Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025 Test-Time Training Provably Improves Transformers as In-context Learners ICML 2025 Text-centric Alignment for Bridging Test-time Unseen Modality EMNLP 2025 The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification IJCNLP 2025 The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing COLING 2025 The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models NAACL 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems EMNLP 2025 Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data ACL 2025 The Missing Alignment Link of In-context Learning on Sequences ICML 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025