Few-Shot Learning

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning NAACL 2024 Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL 2024 Target-Adaptive Consistency Enhanced Prompt-Tuning for Multi-Domain Stance Detection COLING 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024 Task-Agnostic Self-Distillation for Few-Shot Action Recognition IJCAI 2024 Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024 Task-Disruptive Background Suppression for Few-Shot Segmentation AAAI 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models ICML 2024 Teaching Large Language Models an Unseen Language on the Fly ACL 2024 Teaching Large Language Models to Self-Debug ICLR 2024 Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting COLING 2024 Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? NAACL 2024 TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024 TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection ACL 2024 Testing and Adapting the Representational Abilities of Large Language Models on Folktales in Low-Resource Languages EMNLP 2024 Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text CoNLL 2024 The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task EMNLP 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings EMNLP 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ACL 2024