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cs.CL2025
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Tobias Schreieder, Tim Schopf, Michael Färber
The increasing adoption of large language models (LLMs) has raised serious concerns about their reliability and trustworthiness. As a result, a growing body of research focuses on…
cs.CL2025
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
Nicholas Popovič, Ashish Kangen, Tim Schopf +1
Large, high-quality annotated corpora remain scarce in document-level entity and relation extraction in zero-shot or few-shot settings. In this paper, we present a fully automatic,…