← Authors

Sebastian Möller

52 papers · 2012–2026 · 6 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (13) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (79) 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (6) 🤝 Dynamic Duo (11) 🔬 Deep Specialist (13) 🧬 Topic Evolution 🏆 Keyword Champion ❓ The Questioner 🗃️ Keyword Collector (211) ⚡ Prolific Year (5) 🔥 Unstoppable (10) 💎 Century Club (50) 🚀 Conference Pioneer

Conferences

EMNLP (14) INTERSPEECH (13) ACL (12) NAACL (6) EACL (4) COLING (3)

Top co-authors

Nils Feldhus (11) Eleftherios Avramidis (9) Vivien Macketanz (9) Gabriel Mittag (8) Qianli Wang (6) Shushen Manakhimova (6) Tim Polzehl (6) Roland Roller (6) Vera Schmitt (6) Tatiana Anikina (6)

Research topics

Privacy (1)

Keywords

large language model (11) machine translation (7) feature attribution (6) neural machine translation (5) speech quality (5) text classification (5) transfer learning (4) natural language processing (4) named entity recognition (4) linguistic analysis (4) explainable ai (4) relation extraction (3) human evaluation (3) linguistic evaluation (3) packet loss (3) explanation generation (3) convolutional neural network (2) model interpretability (2) recurrent neural network (2) perceptual quality (2)

Papers

Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation EACL 2026
German-English Code-Switching in Large Language Models EACL 2026
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts NAACL 2025
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection NAACL 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
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
Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems EMNLP 2025
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution NAACL 2025
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems EMNLP 2024
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages COLING 2024
Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation COLING 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
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
Investigating the Linguistic Performance of Large Language Models in Machine Translation EMNLP 2024
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations EMNLP 2023
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset ACL 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
ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications INTERSPEECH 2022
Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions EMNLP 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
Using Neural Machine Translation Methods for Sign Language Translation ACL 2022
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets INTERSPEECH 2021
Towards Hybrid Human-Machine Workflow for Natural Language Generation EACL 2021
Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead EACL 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools EMNLP 2021
Efficient Explanations from Empirical Explainers EMNLP 2021
Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German EMNLP 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
Fine-grained linguistic evaluation for state-of-the-art Machine Translation EMNLP 2020
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation EMNLP 2020
Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality INTERSPEECH 2020
Deep Learning Based Assessment of Synthetic Speech Naturalness INTERSPEECH 2020
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
Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 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