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In-Context Learning

387 papers

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Papers

Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction ACL 2026 Diffusion Guided Chain-of-Vision for Large Autoregressive Vision Models CVPR 2026 Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs ACL 2026 Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners CVPR 2026 Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026 Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce ACL 2026 HiFICL: High-Fidelity In-Context Learning for Multimodal Tasks CVPR 2026 How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL 2026 ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation MIDL 2026 Image Guides Images: Consistent Video Amodal Completion with Rectified In-Context Exemplar Guidance CVPR 2026 Improved Mean Flows: On the Challenges of Fastforward Generative Models CVPR 2026 Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 Incomplete In-context Learning ACL 2026 JCT at SemEval-2026 Task 1: Let the Best Joke Win - A Generate - and-Rank Approach to Constrained Humor SemEval 2026 Language Models Struggle to Use Representations Learned In-Context ACL 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Meta-Learning In-Context Enables Training-Free Cross Subject Brain Decoding CVPR 2026 One Task Vector is not Enough: A Large-Scale Study for In-Context Learning ACL 2026 On the Role of Discriminative Models in Generative Relation Extraction ACL 2026 PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ACL 2026 PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation CVPR 2026 RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion MIDL 2026 ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models ACL 2026 Rethinking Intermediate Representation for VLM-based Robot Manipulation CVPR 2026