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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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios
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XAI for Better Exploitation of Text in Medical Decision Support
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QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models
In this paper, we present QoEXplainer, a QoE dashboard for supporting humans in understanding the internals of an explainable, …
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DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
The NLI4CT task at SemEval-2024 emphasizes the development of robust models for Natural Language Inference on Clinical Trial Reports …
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