Markus Schedl
12 papers · 2012–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (13) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (31)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(31)
π
Century Club
(12)
β
The Questioner
ποΈ
Keyword Collector
(72)
Conferences
EACL (5)
ACL (3)
EMNLP (3)
JMLR (1)
Top co-authors
Keywords
large language model
(3)
bias mitigation
(3)
music generation
(2)
domain adaptation
(2)
language model
(2)
model debiasing
(2)
speech recognition
(1)
natural language processing
(1)
transfer learning
(1)
multi-modal learning
(1)
llm evaluation
(1)
music recommendation
(1)
instruction tuning
(1)
audio analysis
(1)
multimodal learning
(1)
embedding space
(1)
variance regularization
(1)
audio classification
(1)
audio processing
(1)
information retrieval
(1)
Papers
How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation
EACL 2026
Cognitive Effects and Biases in Large Language Models
EACL 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
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
EACL 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