{"total":28,"rows":[{"id":"2209.01975","title":"Selective Annotation Makes Language Models Better Few-Shot Learners","created":"2022-09-05","cited_by_count":243,"area":null},{"id":"2207.07411","title":"Plex: Towards Reliability using Pretrained Large Model Extensions","created":"2022-07-15","cited_by_count":102,"area":null},{"id":"2310.11589","title":"Eliciting Human Preferences with Language Models","created":"2023-10-17","cited_by_count":92,"area":null},{"id":"2305.14264","title":"Active Learning Principles for In-Context Learning with Large Language Models","created":"2023-05-23","cited_by_count":54,"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":"2212.10711","title":"Task Ambiguity in Humans and Language Models","created":"2022-12-20","cited_by_count":28,"area":null},{"id":"2302.07346","title":"ScatterShot: Interactive In-context Example Curation for Text Transformation","created":"2023-02-14","cited_by_count":20,"area":null},{"id":"2306.09910","title":"LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning","created":"2023-06-16","cited_by_count":20,"area":null},{"id":"2402.17717","title":"AmbigNLG: Addressing Task Ambiguity in Instruction for NLG","created":"2024-02-27","cited_by_count":10,"area":null},{"id":"2404.17249","title":"Making Better Use of Unlabelled Data in Bayesian Active Learning","created":"2024-04-26","cited_by_count":10,"area":null},{"id":"2212.08378","title":"Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning","created":"2022-12-16","cited_by_count":9,"area":null},{"id":"2305.13342","title":"On the Limitations of Simulating Active Learning","created":"2023-05-21","cited_by_count":9,"area":null},{"id":"2506.06630","title":"Active Test-time Vision-Language Navigation","created":"2025-06-07","cited_by_count":7,"area":null},{"id":"2412.11388","title":"INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2310.20153","title":"Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision","created":"2023-10-31","cited_by_count":4,"area":null},{"id":"2309.12443","title":"Active Learning for Multilingual Fingerspelling Corpora","created":"2023-09-21","cited_by_count":2,"area":null},{"id":"2402.15441","title":"Active Few-Shot Fine-Tuning","created":"2024-02-13","cited_by_count":2,"area":null},{"id":"2210.16097","title":"cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis","created":"2022-10-28","cited_by_count":1,"area":null},{"id":"2405.07440","title":"Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies","created":"2024-05-13","cited_by_count":1,"area":null},{"id":"2506.01992","title":"No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2210.09909","title":"Uncertainty estimation for out-of-distribution detection in computational histopathology","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2307.10026","title":"Contextual Reliability: When Different Features Matter in Different Contexts","created":"2023-07-19","cited_by_count":0,"area":null},{"id":"2312.00364","title":"Benchmarking Multi-Domain Active Learning on Image Classification","created":"2023-12-01","cited_by_count":0,"area":null},{"id":"2508.00218","title":"Object-Centric Cropping for Visual Few-Shot Classification","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2512.13102","title":"Socratic Students: Teaching Language Models to Learn by Asking Questions","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2603.23159","title":"Conformal Cross-Modal Active Learning","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2605.20771","title":"Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2609.27409","title":"Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}