4 papers · 1 filter
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…
Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas
Tim Schopf, Michael Färber
Judging the novelty of research ideas is crucial for advancing science, enabling the identification of unexplored directions, and ensuring contributions meaningfully extend existin…
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
Nicholas PopoviÄ, 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,…
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
Andrei Politov, Oleh Shkalikov, René Jäkel +1
Cross-lingual Named Entity Recognition (NER) leverages knowledge transfer between languages to identify and classify named entities, making it particularly useful for low-resource…