{"total":20,"rows":[{"id":"2303.08559","title":"Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!","created":"2023-03-15","cited_by_count":119,"area":null},{"id":"2204.07128","title":"Label Semantic Aware Pre-training for Few-shot Text Classification","created":"2022-04-14","cited_by_count":18,"area":null},{"id":"2210.06629","title":"Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis","created":"2022-10-12","cited_by_count":16,"area":null},{"id":"2211.04337","title":"Prompt-Based Metric Learning for Few-Shot NER","created":"2022-11-08","cited_by_count":12,"area":null},{"id":"2308.14533","title":"A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER","created":"2023-08-28","cited_by_count":9,"area":null},{"id":"2210.09049","title":"SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition","created":"2022-10-17","cited_by_count":8,"area":null},{"id":"2305.12802","title":"Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2305.10306","title":"UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective","created":"2023-05-17","cited_by_count":7,"area":null},{"id":"2305.11038","title":"Learning In-context Learning for Named Entity Recognition","created":"2023-05-18","cited_by_count":7,"area":null},{"id":"2305.01901","title":"Few-shot Event Detection: An Empirical Study and a Unified View","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2305.12217","title":"PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search","created":"2023-05-20","cited_by_count":5,"area":null},{"id":"2309.00855","title":"DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal","created":"2023-09-02","cited_by_count":5,"area":null},{"id":"2302.06397","title":"Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition","created":"2023-02-13","cited_by_count":4,"area":null},{"id":"2302.12921","title":"Pre-Finetuning for Few-Shot Emotional Speech Recognition","created":"2023-02-24","cited_by_count":4,"area":null},{"id":"2210.05613","title":"Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2306.03974","title":"TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition","created":"2023-06-06","cited_by_count":2,"area":null},{"id":"2307.07946","title":"Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2305.13191","title":"Taxonomy Expansion for Named Entity Recognition","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2404.17178","title":"A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition","created":"2024-04-26","cited_by_count":0,"area":null},{"id":"2507.15864","title":"Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity","created":"2025-07-13","cited_by_count":0,"area":null}],"next_cursor":null}