Georg Groh
31 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Artificial Intelligence
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Machine Learning
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Natural Language Processing
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Core AI
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Applications · Natural Language Processing
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Core Methods
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Learning Types
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Keywords
large language model
(7)
text classification
(7)
natural language processing
(4)
hate speech detection
(3)
multilingual nlp
(3)
text simplification
(3)
hate speech classification
(2)
adversarial attack detection
(2)
transformer model
(2)
benchmark dataset
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ensemble learning
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annotator bia
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commonsense reasoning
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feature attribution
(2)
topic modeling
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deep learning
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semantic analysis
(2)
cross-lingual transfer
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shapley additive explanation
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neural network
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Papers
DIALECTIC: A Multi-Agent System for Startup Evaluation
EACL 2026
A Comprehensive Evaluation of Cognitive Biases in LLMs
NAACL 2025
Adaptive Parameter Compression for Language Models
NAACL 2025
Cross-lingual Text Classification Transfer: The Case of Ukrainian
COLING 2025
(Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages
ACL 2025
From Causal Parrots to Causal Prophets? Towards Sound Causal Reasoning with Large Language Models
NAACL 2025
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
ACL 2025
It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
EMNLP 2025
Semantic Component Analysis: Introducing Multi-Topic Distributions to Clustering-Based Topic Modeling
EMNLP 2025
TUM-MiKaNi at SemEval-2025 Task 3: Towards Multilingual and Knowledge-Aware Non-factual Hallucination Identification
SemEval 2025
Tuning Into Bias: A Computational Study of Gender Bias in Song Lyrics
NAACL 2025
Crafting Tomorrow’s Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian
EMNLP 2024
From Language to Pixels: Task Recognition and Task Learning in LLMs
EMNLP 2024
Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication
EMNLP 2024
Simpler Becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
COLING 2024
Toxicity Classification in Ukrainian
NAACL 2024
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
SemEval 2023
Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models
SemEval 2023
Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.
ACL 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models
IJCNLP 2023
Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training
ACL 2023
Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations
ACL 2022
Explaining Neural NLP Models for the Joint Analysis of Open-and-Closed-Ended Survey Answers
NAACL 2022
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer
ACL 2022
Long Input Dialogue Summarization with Sketch Supervision for Summarization of Primetime Television Transcripts
COLING 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability
COLING 2022
“That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks
ACL 2022
Understanding and Interpreting the Impact of User Context in Hate Speech Detection
NAACL 2021
Identifying and Measuring Annotator Bias Based on Annotators’ Demographic Characteristics
EMNLP 2020
Impact of Politically Biased Data on Hate Speech Classification
EMNLP 2020
Investigating Annotator Bias with a Graph-Based Approach
EMNLP 2020