{"total":38,"rows":[{"id":"2109.03764","title":"Active Learning by Acquiring Contrastive Examples","created":"2021-09-08","cited_by_count":156,"area":null},{"id":"2209.03302","title":"Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?","created":"2022-09-07","cited_by_count":125,"area":null},{"id":"2406.15627","title":"Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph","created":"2024-06-21","cited_by_count":105,"area":null},{"id":"2306.04459","title":"Uncertainty in Natural Language Processing: Sources, Quantification, and Applications","created":"2023-06-05","cited_by_count":44,"area":null},{"id":"2210.10109","title":"A Survey of Active Learning for Natural Language Processing","created":"2022-10-18","cited_by_count":40,"area":null},{"id":"2204.08491","title":"Active Learning Helps Pretrained Models Learn the Intended Task","created":"2022-04-18","cited_by_count":33,"area":null},{"id":"2104.08320","title":"On the Importance of Effectively Adapting Pretrained Language Models for Active Learning","created":"2021-04-16","cited_by_count":32,"area":null},{"id":"2406.02354","title":"Label-wise Aleatoric and Epistemic Uncertainty Quantification","created":"2024-06-04","cited_by_count":22,"area":null},{"id":"2209.13983","title":"Medical Image Captioning via Generative Pretrained Transformers","created":"2022-09-28","cited_by_count":20,"area":null},{"id":"2401.00276","title":"Second-Order Uncertainty Quantification: Variance-Based Measures","created":"2023-12-30","cited_by_count":19,"area":null},{"id":"2405.10808","title":"ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios","created":"2024-05-17","cited_by_count":18,"area":null},{"id":"2209.06995","title":"Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach","created":"2022-09-15","cited_by_count":16,"area":null},{"id":"2311.15614","title":"FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models","created":"2023-11-27","cited_by_count":14,"area":null},{"id":"2205.03598","title":"Towards Computationally Feasible Deep Active Learning","created":"2022-05-07","cited_by_count":11,"area":null},{"id":"2305.13342","title":"On the Limitations of Simulating Active Learning","created":"2023-05-21","cited_by_count":9,"area":null},{"id":"2202.08316","title":"FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction","created":"2022-02-16","cited_by_count":8,"area":null},{"id":"2403.09259","title":"To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation","created":"2024-03-14","cited_by_count":8,"area":null},{"id":"2301.03252","title":"Active Learning for Abstractive Text Summarization","created":"2023-01-09","cited_by_count":7,"area":null},{"id":"2302.06976","title":"Investigating Multi-source Active Learning for Natural Language Inference","created":"2023-02-14","cited_by_count":6,"area":null},{"id":"2305.14576","title":"Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2311.00906","title":"Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition","created":"2023-11-02","cited_by_count":5,"area":null},{"id":"2404.01588","title":"Hallucination Diversity-Aware Active Learning for Text Summarization","created":"2024-04-02","cited_by_count":5,"area":null},{"id":"2501.18268","title":"Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition","created":"2025-01-30","cited_by_count":5,"area":null},{"id":"2212.11680","title":"Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis","created":"2022-12-20","cited_by_count":4,"area":null},{"id":"2305.09807","title":"On Dataset Transferability in Active Learning for Transformers","created":"2023-05-16","cited_by_count":3,"area":null},{"id":"2209.13877","title":"YATO: Yet Another deep learning based Text analysis Open toolkit","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2302.05137","title":"Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement","created":"2023-02-10","cited_by_count":2,"area":null},{"id":"2407.03895","title":"Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks","created":"2024-07-04","cited_by_count":2,"area":null},{"id":"2503.09701","title":"Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2311.15946","title":"Leveraging deep active learning to identify low-resource mobility functioning information in public clinical notes","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2305.04049","title":"Actively Discovering New Slots for Task-oriented Conversation","created":"2023-05-06","cited_by_count":0,"area":null},{"id":"2310.09338","title":"Uncertainty Quantification using Generative Approach","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2402.15613","title":"Towards Efficient Active Learning in NLP via Pretrained Representations","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2506.23342","title":"ATGen: A Framework for Active Text Generation","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2604.19335","title":"When Active Learning Falls Short: An Empirical Study on Chemical Reaction Extraction","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.07630","title":"Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2606.10725","title":"Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2608.25881","title":"Loss-Based Active Learning for Neural Abstractive Summarization","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}