Michael Färber
26 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (46)
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Conference Polyglot
(7)
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Academic Marathon
(6)
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Dynamic Duo
(12)
💎
Century Club
(18)
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Keyword Collector
(99)
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Prolific Year
(9)
Conferences
ACL (6)
EMNLP (4)
NAACL (4)
AACL (3)
IJCNLP (3)
EACL (2)
SEMEVAL (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
large language model
(11)
sequence labeling
(4)
zero-shot learning
(3)
graph neural network
(3)
named entity recognition
(3)
in-context learning
(2)
natural language inference
(2)
parallel dataset
(2)
entity extraction
(2)
few-shot learning
(2)
hate speech detection
(2)
language model
(2)
information extraction
(2)
text classification
(2)
relation extraction
(2)
prompt tuning
(2)
part-of-speech tagging
(2)
text style transfer
(2)
text detoxification
(2)
decomposed prompting
(2)
Papers
Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation
ACL 2026
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
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
EACL 2026
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
EMNLP 2025
CoDy: Counterfactual Explainers for Dynamic Graphs
ICML 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
IJCNLP 2025
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
IJCNLP 2025
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
IJCNLP 2025
Natural Language Inference Fine-tuning for Scientific Hallucination Detection
ACL 2025
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
AACL 2025
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
AACL 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
AACL 2025
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
ACL 2025
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering
EMNLP 2025
Graph-Guided Textual Explanation Generation Framework
EMNLP 2025
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
ACL 2024
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
EACL 2024
Embedded Named Entity Recognition using Probing Classifiers
EMNLP 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
NAACL 2024
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities
SEMEVAL 2022
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities
NAACL 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