Sebastian Möller

Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation EACL 2026 Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation ACL 2026 German-English Code-Switching in Large Language Models EACL 2026 Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection NAACL 2025 Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems EMNLP 2025 FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation ACL 2025 One Size Fits None: Rethinking Fairness in Medical AI ACL 2025 Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence ACL 2025 Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution NAACL 2025 Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data ACL 2025 Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem COLING 2025 Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts NAACL 2025 A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages COLING 2024 Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024 XAI for Better Exploitation of Text in Medical Decision Support ACL 2024 Retrieval-Augmented Knowledge Integration into Language Models: A Survey ACL 2024 Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ACL 2024 Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation COLING 2024 CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems EMNLP 2024 Investigating the Linguistic Performance of Large Language Models in Machine Translation EMNLP 2024 Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems EMNLP 2024 Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory INTERSPEECH 2024 LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations NAACL 2024 InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations EMNLP 2023 Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023 Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? EMNLP 2023 Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective EMNLP 2023 MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset ACL 2023 Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions EMNLP 2022 Using Neural Machine Translation Methods for Sign Language Translation ACL 2022 ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications INTERSPEECH 2022 Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation ACL 2022 TUB at WANLP22 Shared Task: Using Semantic Similarity for Propaganda Detection in Arabic EMNLP 2022 Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools EMNLP 2021 NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets INTERSPEECH 2021 Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational Degradations INTERSPEECH 2021 Perception of Social Speaker Characteristics in Synthetic Speech INTERSPEECH 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Towards Hybrid Human-Machine Workflow for Natural Language Generation EACL 2021 Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German EMNLP 2021 Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead EACL 2021 Fine-grained linguistic evaluation for state-of-the-art Machine Translation EMNLP 2020 Deep Learning Based Assessment of Synthetic Speech Naturalness INTERSPEECH 2020 Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality INTERSPEECH 2020 Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation EMNLP 2020 Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 2019 Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech INTERSPEECH 2019 Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios INTERSPEECH 2019 Detecting Packet-Loss Concealment Using Formant Features and Decision Tree Learning INTERSPEECH 2018 Perceptual Ratings of Voice Likability Collected Through In-Lab Listening Tests vs. Mobile-Based Crowdsourcing INTERSPEECH 2017 Predicting Automatic Speech Recognition Performance Over Communication Channels from Instrumental Speech Quality and Intelligibility Scores INTERSPEECH 2017 Analyzing the Relation Between Overall Quality and the Quality of Individual Phases in a Telephone Conversation INTERSPEECH 2016 Position Paper: Towards Standardized Metrics and Tools for Spoken and Multimodal Dialog System Evaluation NAACL 2012