few-shot learning

Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024 TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks ACL 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 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 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ICLR 2024 The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL 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 Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks EACL 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024 Thinking about how to extract: Energizing LLMs’ emergence capabilities for document-level event argument extraction ACL 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 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 TMU-HIT’s Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? EMNLP 2024 TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024 Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024