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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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DOI
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues
For dialogues in which teachers explain difficult concepts to students, didactics research often debates which teaching strategies lead …
Nils Feldhus
,
Aliki Anagnostopoulou
,
Qianli Wang
,
Milad Alshomary
,
Henning Wachsmuth
,
Daniel Sonntag
,
Sebastian Möller
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DOI
DFKI-MLST at DialAM-2024 Shared Task: System Description
This paper presents the dfki-mlst submission for the DialAM shared task (Ruiz-Dolz et al., 2024) on identification of argumentative and …
Arne Binder
,
Tatiana Anikina
,
Leonhard Hennig
,
Simon Ostermann
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Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese
This paper provides an overview of Task 2 from the Social Media Mining for Health 2024 shared task (#SMM4H 2024), which focused on …
Lisa Raithel
,
Philippe Thomas
,
Bhuvanesh Verma
,
Roland Roller
,
Hui-Syuan Yeh
,
Shuntaro Yada
,
Cyril Grouin
,
Shoko Wakamiya
,
Eiji Aramaki
,
Sebastian Möller
,
Pierre Zweigenbaum
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Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 -- Large Language Models and Generalizability for Social Media NLP
For the past nine years, the Social Media Mining for Health Applications (#SMM4H) shared tasks have promoted community-driven …
Dongfang Xu
,
Guillermo Garcia
,
Lisa Raithel
,
Philippe Thomas
,
Roland Roller
,
Eiji Aramaki
,
Shoko Wakamiya
,
Shuntaro Yada
,
Pierre Zweigenbaum
,
Karen O'Connor
,
Sai Samineni
,
Sophia Hernandez
,
Yao Ge
,
Swati Rajwal
,
Sudeshna Das
,
Abeed Sarker
,
Ari Klein
,
Ana Schmidt
,
Vishakha Sharma
,
Raul Rodriguez-Esteban
,
Juan Banda
,
Ivan Amaro
,
Davy Weissenbacher
,
Graciela Gonzalez-Hernandez
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Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit
Inseq 1 is a recent toolkit providing an intuitive and optimized interface to conduct feature attribution analyses of generative …
Gabriele Sarti
,
Nils Feldhus
,
Jirui Qi
,
Malvina Nissim
,
Arianna Bisazza
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Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates
An adverse drug effect (ADE) is any harmful event resulting from medical drug treatment. Despite their importance, ADEs are often …
Dorothea MacPhail
,
David Harbecke
,
Lisa Raithel
,
Sebastian Möller
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Symmetric Dot-Product Attention for Efficient Training of BERT Language Models
Initially introduced as a machine translation model, the Transformer architecture has now become the foundation for modern deep …
Martin Courtois
,
Malte Ostendorff
,
Leonhard Hennig
,
Georg Rehm
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Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios
Faraz Maschhur
,
Klaus Netter
,
Sven Schmeier
,
Katrin Ostermann
,
Rimantas Palunis
,
Tobias Strapatsas
,
Roland Roller
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XAI for Better Exploitation of Text in Medical Decision Support
Ajay Madhavan Ravichandran
,
Julianna Grune
,
Nils Feldhus
,
Aljoscha Burchardt
,
Sebastian Moller
,
Roland Roller
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