Few-Shot Learning

Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language COLING 2024 LPNER: Label Prompt for Few-shot Nested Named Entity Recognition ACML 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 Machine Translation Of Marathi Dialects: A Case Study Of Kadodi EMNLP 2024 Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Many-Shot In-Context Learning NeurIPS 2024 Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SemEval 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024 MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024 MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch NAACL 2024 MERA: A Comprehensive LLM Evaluation in Russian ACL 2024 MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation ICLR 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 Metadata Enhancement Using Large Language Models ACL 2024 Meta Evidential Transformer for Few-Shot Open-Set Recognition ICML 2024 Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning NeurIPS 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 MFOS: Model-Free & One-Shot Object Pose Estimation AAAI 2024 MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection ACL 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations ICLR 2024 Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024