activity
20192025
most citedOn the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation

4 citations · 10 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.IR2025

On Synthesizing Data for Context Attribution in Question Answering

Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed +11

Question Answering (QA) accounts for a significant portion of LLM usage "in the wild". However, LLMs sometimes produce false or misleading responses, also known as "hallucinations"…

cs.IR2024

Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders

Andreea Iana, Goran Glavaš, Heiko Paulheim

Encoder architectures play a pivotal role in neural news recommenders by embedding the semantic and contextual information of news and users. Thus, research has heavily focused on…

cs.IR2024

News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation

Andreea Iana, Fabian David Schmidt, Goran Glavaš +1

Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing ne…

cs.IR2024

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation

Andreea Iana, Goran Glavaš, Heiko Paulheim

Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online communi…

cs.IR20211 cited

Self-Supervised Learning for Visual Summary Identification in Scientific Publications

Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto +2

Providing visual summaries of scientific publications can increase information access for readers and thereby help deal with the exponential growth in the number of scientific publ…