Michael A. Hedderich
24 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (4) π Academic Marathon (7) π§ Keyword Pioneer π Conference Polyglot (6) π Renaissance Researcher (5)
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Conference Polyglot
(6)
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Academic Marathon
(7)
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Renaissance Researcher
(5)
π€
Dynamic Duo
(13)
π§¬
Topic Evolution
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Century Club
(19)
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The Questioner
(3)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(97)
π₯
Unstoppable
(5)
Conferences
EMNLP (9)
ACL (7)
NAACL (3)
EACL (2)
AAAI (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
named entity recognition
(6)
large language model
(5)
distant supervision
(4)
noisy label
(4)
low-resource language
(4)
noise modeling
(3)
sentence-level probing
(2)
transfer learning
(2)
multilingual model
(2)
text representation
(2)
natural language processing
(2)
low-resource setting
(2)
contextualized embedding
(2)
model adaptation
(2)
noisy label learning
(2)
low-resource learning
(2)
confusion matrix
(2)
linguistic knowledge
(2)
chain-of-thought reasoning
(1)
topic modeling
(1)
Papers
AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages
ACL 2026
A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages
EACL 2026
Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions
EACL 2026
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
ACL 2026
Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
ACL 2026
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs
EMNLP 2025
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
ACL 2025
Whatβs the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
ACL 2025
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
EMNLP 2025
Semantic Component Analysis: Introducing Multi-Topic Distributions to Clustering-Based Topic Modeling
EMNLP 2025
Do We Know What LLMs Donβt Know? A Study of Consistency in Knowledge Probing
EMNLP 2025
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
EMNLP 2024
MCSE: Multimodal Contrastive Learning of Sentence Embeddings
NAACL 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
ACL 2022
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
ICML 2022
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
NAACL 2021
Analysing the Noise Model Error for Realistic Noisy Label Data
AAAI 2021
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
EMNLP 2020
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
NAACL 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
EMNLP 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
IJCNLP 2019
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
ACL 2018