in-context learning

Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026 LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026 LingoResearchGroup at SemEval-2026 Task 9: Evaluating Prompt Variants for Polarization Detection SemEval 2026 Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation EACL 2026 Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text ACL 2026 MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation CVPR 2026 Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language EACL 2026 Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding CVPR 2026 Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement AAAI 2026 Meta-Learning In-Context Enables Training-Free Cross Subject Brain Decoding CVPR 2026 MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning AAAI 2026 Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification SemEval 2026 One Task Vector is not Enough: A Large-Scale Study for In-Context Learning ACL 2026 On the Additive Compositionality of Task Vectors in Vision–Language Models EACL 2026 On the Role of Discriminative Models in Generative Relation Extraction ACL 2026 On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026 Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization ACL 2026 Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities EACL 2026 Perspicere at SemEval-2026 Task 2: Modeling Longitudinal Valence and Arousal via Dense Embeddings and Agentic Reasoning SemEval 2026 Persuasion Tokens for Editing Factual Knowledge in LLMs EACL 2026 PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 Prior-Fitted Functional Flows: In-Context Generative Models for Pharmacokinetics UAI 2026