Markus Schedl
14 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Century Club · Bronze
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Research topics
Machine Learning
(9)
Application Areas
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Artificial Intelligence
(8)
Core AI
(8)
Natural Language Processing
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(4)
Resources & Methods
(4)
Applications
(3)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Speech & Audio
(1)
Analysis
(1)
Learning Paradigms
(1)
Keywords
bias mitigation
(3)
large language model
(3)
multimodal learning
(2)
model debiasing
(2)
language model
(2)
information retrieval
(2)
domain adaptation
(2)
music generation
(2)
speech recognition
(1)
llm evaluation
(1)
natural language processing
(1)
music recommendation
(1)
instruction tuning
(1)
audio analysis
(1)
transfer learning
(1)
audio processing
(1)
embedding space
(1)
variance regularization
(1)
audio classification
(1)
response generation
(1)
Papers
Cognitive Effects and Biases in Large Language Models
EACL 2026
How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation
EACL 2026
H-RAG at SemEval-2026 Task 8: Hierarchical Parent–Child Retrieval for Multi-Turn RAG Conversations
SemEval 2026
Read Between the Tracks: Exploring LLM-driven Intent-based Music Recommendations
EACL 2026
Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects
EMNLP 2025
Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
ACL 2025
Mitigating Gender Bias in Job Ranking Systems Using Job Advertisement Neutrality
ACL 2025
PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
Interspeech 2025
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
EACL 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
EMNLP 2024
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
ACL 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
EACL 2023
Local and Global Scaling Reduce Hubs in Space
JMLR 2012