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few-shot setting

7 papers

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few-shot learning (4) named entity recognition (2) predictive performance (1) out-of-distribution data (1) spatio-temporal graph neural network (1) vehicle routing problem (1) pointer network (1) label semantics (1) entity recognition (1) zero-shot setting (1)

Papers

FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting ICML 2025 P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts ACL 2025 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts ICML 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 SINC: Self-Supervised In-Context Learning for Vision-Language Tasks ICCV 2023 Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework ACL 2022 DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets EMNLP 2021