In-Context Learning
387 papers
Papers per year
1
3
17
84
135
111
36
'25
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