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GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge
Contextualized embeddings based on large language models (LLMs) are available for various languages, but their coverage is often …
Daniil Gurgurov
,
Rishu Kumar
,
Simon Ostermann
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Soft Language Prompts for Language Transfer
Cross-lingual knowledge transfer, especially between high- and low-resource languages, remains challenging in natural language …
Ivan Vykopal
,
Simon Ostermann
,
Marián Šimko
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Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO
As the Information Retrieval (IR) field increasingly recognizes the importance of inclusivity, addressing the needs of low-resource …
Umer Butt
,
Stalin Varanasi
,
Günter Neumann
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Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Natural language explanations (NLEs) are vital for elucidating the reasoning behind large language model (LLM) decisions. Many …
Qianli Wang
,
Tatiana Anikina
,
Nils Feldhus
,
Simon Ostermann
,
Sebastian Möller
,
Vera Schmitt
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MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos
Multilingual anaphora resolution identifies referring expressions and implicit arguments in texts and links to antecedents that cover …
Cennet Oguz
,
Pascal Denis
,
Simon Ostermann
,
Emmanuel Vincent
,
Natalia Skachkova
,
Josef van Genabith
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A Comparison of Different Tokenization Methods for the Georgian Language
While the impact of tokenization on language modeling is well-researched in richly resourced languages, fewer studies on this topic …
Beso Mikaberidze
,
Temo Saghinadze
,
Guram Mikaberidze
,
Raphael Kalandadze
,
Konstantine Pkhakadze
,
Josef van Genabith
,
Simon Ostermann
,
Lonneke Van Der Plas
,
Philipp Müller
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CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered significant …
Qianli Wang
,
Tatiana Anikina
,
Nils Feldhus
,
Simon Ostermann
,
Sebastian Möller
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German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect
We investigate the impact of LLMs on political discourse with a particular focus on the influence of generated personas on model …
Maximilian Bleick
,
Nils Feldhus
,
Aljoscha Burchardt
,
Sebastian Möller
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Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models
In this paper, we investigate the use of large language models (LLMs) to enhance the editorial process of rewriting customer help …
Aleksandra Gabryszak
,
Daniel Röder
,
Arne Binder
,
Luca Sion
,
Leonhard Hennig
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Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
This paper explores the integration of graph knowledge from linguistic ontologies into multilingual Large Language Models (LLMs) using …
Daniil Gurgurov
,
Mareike Hartmann
,
Simon Ostermann
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