data extraction

SIDE: Surrogate Conditional Data Extraction from Diffusion Models AAAI 2026 An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact ACL 2025 Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs ACL 2025 Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems ICLR 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 Scaling Species Diversity Analysis in Carbon Credit Projects with Large-Context LLMs ACL 2025 Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024 MAmmoTH2: Scaling Instructions from the Web NeurIPS 2024 PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding ACL 2024 Quantifying and Analyzing Entity-Level Memorization in Large Language Models AAAI 2024 Teach LLMs to Phish: Stealing Private Information from Language Models ICLR 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning ACL 2023 ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation ACL 2023 LineEX: Data Extraction From Scientific Line Charts WACV 2023 Canary Extraction in Natural Language Understanding Models ACL 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 Parsing Line Chart Images Using Linear Programming WACV 2022 Privacy Leakage in Text Classification A Data Extraction Approach NAACL 2022 Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News EMNLP 2021 Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction ACL 2021 Scaling Systematic Literature Reviews with Machine Learning Pipelines EMNLP 2020