4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.IR2025★ 4 cited
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
Ines Besrour, Jingbo He, Tobias Schreieder +1
We present SQuAI (https://squai.scads.ai/), a scalable and trustworthy multi-agent retrieval-augmented generation (RAG) framework for scientific question answering (QA) with large…
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,…
cs.CL2025
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…