David Harbecke

18 papers A* 1Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms. EMNLP (Findings) Charlott Jakob, David Harbecke, Patrick Parschan, Pia Wenzel Neves, Vera Schmitt
2025	J	`jnl`	PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms. CoRR Charlott Jakob, David Harbecke, Patrick Parschan, Pia Wenzel Neves, Vera Schmitt
2025	J	`jnl`	Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution. CoRR Tatiana Anikina, Arne Binder, David Harbecke, Stalin Varanasi, Leonhard Hennig, Simon Ostermann, Sebastian Möller, Josef van Genabith
2024	J	`jnl`	Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates. CoRR Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller
2024	—	`conf`	Evaluating the Robustness of Adverse Drug Event Classification Models using Templates. BioNLP@ACL Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller
2022	A*	`conf`	Multilingual Relation Classification via Efficient and Effective Prompting. EMNLP Yuxuan Chen, David Harbecke, Leonhard Hennig
2022	J	`jnl`	Multilingual Relation Classification via Efficient and Effective Prompting. CoRR Yuxuan Chen, David Harbecke, Leonhard Hennig
2022	J	`jnl`	Why only Micro-F1? Class Weighting of Measures for Relation Classification. CoRR David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt
2021	J	`jnl`	Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling. CoRR David Harbecke
2020	—	`conf`	Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling. ACL (student) David Harbecke, Christoph Alt
2020	J	`jnl`	Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling. CoRR David Harbecke, Christoph Alt
2019	—	`conf`	Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. TextGraphs@EMNLP Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
2019	J	`jnl`	Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. CoRR Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
2019	J	`jnl`	Neural Vector Conceptualization for Word Vector Space Interpretation. CoRR Robert Schwarzenberg, Lisa Raithel, David Harbecke
2019	—	`conf`	Train, Sort, Explain: Learning to Diagnose Translation Models. NAACL-HLT (Demonstrations) Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
2019	J	`jnl`	Train, Sort, Explain: Learning to Diagnose Translation Models. CoRR Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller
2018	—	`conf`	Learning Explanations from Language Data. BlackboxNLP@EMNLP David Harbecke, Robert Schwarzenberg, Christoph Alt
2018	J	`jnl`	Learning Explanations from Language Data. CoRR David Harbecke, Robert Schwarzenberg, Christoph Alt