Michael Färber
22 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (104)
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Prolific Year · Productive
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Renaissance Researcher
(5)
💎
Century Club · Bronze
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Research topics
Natural Language Processing
(16)
Artificial Intelligence
(12)
Core AI
(11)
Applications
(10)
Machine Learning
(9)
Resources & Methods
(9)
Deep Learning
(8)
Architectures
(7)
Core Methods
(6)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(4)
Understanding
(3)
Knowledge & Reasoning
(2)
Generation
(2)
Representation
(2)
Keywords
large language model
(10)
named entity recognition
(3)
graph neural network
(3)
sequence labeling
(3)
text classification
(2)
few-shot learning
(2)
information extraction
(2)
natural language inference
(2)
zero-shot learning
(2)
in-context learning
(2)
prompt tuning
(2)
relation extraction
(2)
cross-lingual transfer
(1)
temporal reasoning
(1)
dataset creation
(1)
document understanding
(1)
multimodal learning
(1)
universal dependencies
(1)
machine translation
(1)
question answering
(1)
Papers
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
ACL 2026
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs
ACL 2026
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
AAAI 2026
Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation
ACL 2026
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
EACL 2026
CoDy: Counterfactual Explainers for Dynamic Graphs
ICML 2025
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering
EMNLP 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
IJCNLP 2025
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
ACL 2025
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
EMNLP 2025
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
IJCNLP 2025
Graph-Guided Textual Explanation Generation Framework
EMNLP 2025
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
IJCNLP 2025
Natural Language Inference Fine-tuning for Scientific Hallucination Detection
ACL 2025
Embedded Named Entity Recognition using Probing Classifiers
EMNLP 2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
ACL 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
NAACL 2024
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
EACL 2024
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities
SemEval 2022
Few-Shot Document-Level Relation Extraction
NAACL 2022
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
NAACL 2021
Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks
SemEval 2019