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conftrace_

few-shot learning

3,578 papers

FSL FEWSHOT FEW-SHOT

Papers

Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation NAACL 2025 Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction NAACL 2025 Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025 Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning AAAI 2025 EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding ACL 2025 Evaluating and Improving Graph to Text Generation with Large Language Models NAACL 2025 Evaluating LLMs’ Reasoning Over Ordered Procedural Steps IJCNLP 2025 Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding COLING 2025 Evaluation of Large Language Models on Arabic Punctuation Prediction COLING 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking IJCAI 2025 Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025 Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction NAACL 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph IJCAI 2025 Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning EMNLP 2025 Exploring In-context Example Generation for Machine Translation ACL 2025 Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation NAACL 2025 Exploring LLM Priming Strategies for Few-Shot Stance Classification ACL 2025 Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025 FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025 FarExStance: Explainable Stance Detection for Farsi COLING 2025 Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning ICCV 2025 Federated Few-Shot Class-Incremental Learning ICLR 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 Feedforward Few-shot Species Range Estimation ICML 2025 Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025