Few-Shot Learning

PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024 P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024 Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion AAAI 2024 Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs CVPR 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition AAAI 2024 Point Segment and Count: A Generalized Framework for Object Counting CVPR 2024 Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study EACL 2024 Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024 Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners CVPR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ICLR 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024 PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning NAACL 2024 Prompting open-source and commercial language models for grammatical error correction of English learner text ACL 2024 Promptly Predicting Structures: The Return of Inference NAACL 2024 Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models NAACL 2024 Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024 QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos AAAI 2024 Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 RA-DIT: Retrieval-Augmented Dual Instruction Tuning ICLR 2024 RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering ICLR 2024