Sebastian Möller
58 papers · 2012–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (83) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🏆
Keyword Champion
🧬
Topic Evolution
🔬
Deep Specialist
(13)
🤝
Dynamic Duo
(12)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Silver
❓
The Questioner
⚡
Prolific Year · Prolific
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Conference Pioneer
💎
Century Club · Silver
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Keyword Collector
(230)
Top co-authors
Research topics
Natural Language Processing
(33)
Machine Learning
(30)
Artificial Intelligence
(27)
Applications
(25)
Core AI
(24)
Deep Learning
(16)
Core Methods
(15)
Learning Types · Machine Learning
(13)
Resources & Methods
(13)
Speech & Audio
(9)
Learning Types · Deep Learning
(8)
Generation
(7)
Analysis
(6)
Application Areas
(5)
Architectures
(5)
Keywords
large language model
(11)
machine translation
(7)
feature attribution
(6)
neural machine translation
(5)
text classification
(5)
speech quality
(5)
explainable ai
(4)
transfer learning
(4)
named entity recognition
(4)
linguistic analysis
(4)
packet loss
(4)
natural language processing
(4)
speech quality prediction
(3)
explanation generation
(3)
relation extraction
(3)
human evaluation
(3)
evaluation metric
(3)
linguistic evaluation
(3)
automatic speech recognition
(2)
model interpretability
(2)
Papers
German-English Code-Switching in Large Language Models
EACL 2026
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
ACL 2026
Take It All: Ensemble Retrieval for Multimodal Evidence Aggregation
EACL 2026
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts
NAACL 2025
BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention
Interspeech 2025
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
NAACL 2025
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
COLING 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
ACL 2025
Generalizable Audio Spoofing Detection using Non-Semantic Representations
Interspeech 2025
Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
ACL 2025
Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems
EMNLP 2025
One Size Fits None: Rethinking Fairness in Medical AI
ACL 2025
Private kNN-VC: Interpretable Anonymization of Converted Speech
Interspeech 2025
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
NAACL 2025
Rollback Speech: Smart Feedback Prompts for Lost Utterances in Unstable Online Calls
Interspeech 2025
SQ-AST: A Transformer-Based Model for Speech Quality Prediction
Interspeech 2025
Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
ACL 2025
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
COLING 2024
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
EMNLP 2024
Evaluating the Robustness of Adverse Drug Event Classification Models using Templates
ACL 2024
Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation
COLING 2024
Investigating the Linguistic Performance of Large Language Models in Machine Translation
EMNLP 2024
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
NAACL 2024
Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems
EMNLP 2024
Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese
ACL 2024
Retrieval-Augmented Knowledge Integration into Language Models: A Survey
ACL 2024
Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory
Interspeech 2024
XAI for Better Exploitation of Text in Medical Decision Support
ACL 2024
Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective
EMNLP 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
EMNLP 2023
Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT?
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
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
Efficient Explanations from Empirical Explainers
EMNLP 2021
Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational Degradations
Interspeech 2021
Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German
EMNLP 2021
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Interspeech 2021
Perception of Social Speaker Characteristics in Synthetic Speech
Interspeech 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
Towards Hybrid Human-Machine Workflow for Natural Language Generation
EACL 2021
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation
EMNLP 2020
Deep Learning Based Assessment of Synthetic Speech Naturalness
Interspeech 2020
Fine-grained linguistic evaluation for state-of-the-art Machine Translation
EMNLP 2020
Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality
Interspeech 2020
Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios
Interspeech 2019
Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech
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