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Anne Lauscher
Person information
- affiliation: University of Hamburg, Germany
- affiliation (former): Bocconi University, Milan, Italy
- affiliation (PhD, former): University of Mannheim, School of Business Informatics and Mathematics, Germany
- affiliation (former): Stuttgart Media University, Germany
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2020 – today
- 2024
- [c48]Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher:
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ. ACL (Findings) 2024: 4476-4494 - [c47]Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher:
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German. ACL (Findings) 2024: 7542-7550 - [c46]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. ACL (Findings) 2024: 11743-11776 - [c45]Rochelle Choenni, Anne Lauscher, Ekaterina Shutova:
The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. ACL (1) 2024: 15042-15058 - [c44]Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio, Anne Lauscher, Joonsuk Park, Eva Maria Vecchi, Serena Villata, Timon Ziegenbein:
Argument Quality Assessment in the Age of Instruction-Following Large Language Models. LREC/COLING 2024: 1519-1538 - [c43]Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher:
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. EACL (Findings) 2024: 1138-1157 - [c42]Tilman Beck, Hendrik Schuff, Anne Lauscher, Iryna Gurevych:
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting. EACL (1) 2024: 2589-2615 - [c41]Manuel Lardelli, Anne Lauscher, Giuseppe Attanasio:
GeFMT: Gender-Fair Language in German Machine Translation. EAMT (2) 2024: 37-38 - [c40]Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych:
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification. EMNLP 2024: 10604-10624 - [c39]Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP (Findings) 2024: 13402-13421 - [c38]Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher:
Local Contrastive Editing of Gender Stereotypes. EMNLP 2024: 21474-21493 - [c37]Jonas Belouadi
, Anne Lauscher, Steffen Eger:
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. ICLR 2024 - [i47]Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher:
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. CoRR abs/2401.12756 (2024) - [i46]Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher:
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ. CoRR abs/2403.03814 (2024) - [i45]Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio, Anne Lauscher, Joonsuk Park, Eva Maria Vecchi, Serena Villata, Timon Ziegenbein:
Argument Quality Assessment in the Age of Instruction-Following Large Language Models. CoRR abs/2403.16084 (2024) - [i44]Vagrant Gautam, Eileen Bingert, Dawei Zhu, Anne Lauscher, Dietrich Klakow:
Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? CoRR abs/2404.03134 (2024) - [i43]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i42]Jan Kaiser
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language. CoRR abs/2405.08888 (2024) - [i41]Rochelle Choenni, Anne Lauscher, Ekaterina Shutova:
The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning. CoRR abs/2405.12744 (2024) - [i40]Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes:
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP. CoRR abs/2405.17159 (2024) - [i39]Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher:
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German. CoRR abs/2406.06131 (2024) - [i38]Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? CoRR abs/2407.02333 (2024) - [i37]Karina Vida, Fabian Damken, Anne Lauscher:
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment. CoRR abs/2407.15184 (2024) - [i36]Vagrant Gautam, Julius Steuer, Eileen Bingert, Ray Johns, Anne Lauscher, Dietrich Klakow:
WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case. CoRR abs/2409.05653 (2024) - [i35]Tatjana Wingarz, Anne Lauscher, Janick Edinger, Dominik Kaaser, Stefan Schulte, Mathias Fischer:
SoK: Towards Security and Safety of Edge AI. CoRR abs/2410.05349 (2024) - [i34]Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher:
Local Contrastive Editing of Gender Stereotypes. CoRR abs/2410.17739 (2024) - 2023
- [c36]Anne Lauscher, Debora Nozza, Ehm Miltersen, Archie Crowley, Dirk Hovy:
What about "em"? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns. ACL (1) 2023: 377-392 - [c35]Eddie L. Ungless, Björn Ross, Anne Lauscher:
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models. ACL (Findings) 2023: 7919-7942 - [c34]Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers. EACL (Findings) 2023: 1520-1535 - [c33]Giuseppe Attanasio, Flor Miriam Plaza del Arco
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. EMNLP 2023: 3996-4014 - [c32]Karina Vida
Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research. EMNLP (Findings) 2023: 5534-5554 - [c31]Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych:
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. EMNLP 2023: 14479-14495 - [i33]Anne Lauscher, Debora Nozza, Archie Crowley, Ehm Miltersen, Dirk Hovy:
What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns. CoRR abs/2305.16051 (2023) - [i32]Eddie L. Ungless, Björn Ross, Anne Lauscher:
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models. CoRR abs/2305.17072 (2023) - [i31]Tilman Beck, Hendrik Schuff, Anne Lauscher, Iryna Gurevych:
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks. CoRR abs/2309.07034 (2023) - [i30]Jonas Belouadi, Anne Lauscher, Steffen Eger:
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. CoRR abs/2310.00367 (2023) - [i29]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. CoRR abs/2310.01217 (2023) - [i28]Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher:
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. CoRR abs/2310.12127 (2023) - [i27]Karina Vida, Judith Simon, Anne Lauscher:
Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research. CoRR abs/2310.13915 (2023) - [i26]Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych:
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. CoRR abs/2311.03998 (2023) - 2022
- [j2]Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. Trans. Assoc. Comput. Linguistics 10: 1392-1422 (2022) - [c30]Chia-Chien Hung, Anne Lauscher
DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog. ACL (Findings) 2022: 891-904 - [c29]Carolin Holtermann
Fair and Argumentative Language Modeling for Computational Argumentation. ACL (1) 2022: 7841-7861 - [c28]Anne Lauscher, Archie Crowley, Dirk Hovy:
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender. COLING 2022: 1221-1232 - [c27]Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher:
Bridging Fairness and Environmental Sustainability in Natural Language Processing. EMNLP 2022: 7817-7836 - [c26]Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy:
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. EMNLP 2022: 7901-7918 - [c25]Debora Nozza
Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. LT-EDI 2022: 26-34 - [c24]Anne Lauscher
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. NAACL-HLT 2022: 1875-1889 - [c23]Chia-Chien Hung, Anne Lauscher
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog. NAACL-HLT 2022: 3687-3703 - [i25]Anne Lauscher, Archie Crowley, Dirk Hovy:
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender. CoRR abs/2202.11923 (2022) - [i24]Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto:
Fair and Argumentative Language Modeling for Computational Argumentation. CoRR abs/2204.04026 (2022) - [i23]Chia-Chien Hung, Anne Lauscher, Ivan Vulic, Simone Paolo Ponzetto, Goran Glavas:
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog. CoRR abs/2205.10400 (2022) - [i22]Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, Goran Glavas:
On the Limitations of Sociodemographic Adaptation with Transformers. CoRR abs/2208.01029 (2022) - [i21]Zeerak Talat
Back to the Future: On Potential Histories in NLP. CoRR abs/2210.06245 (2022) - [i20]Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, Goran Glavas:
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers. CoRR abs/2210.07362 (2022) - [i19]Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher:
Bridging Fairness and Environmental Sustainability in Natural Language Processing. CoRR abs/2211.04256 (2022) - [i18]Anne Lauscher, Federico Bianchi, Samuel R. Bowman, Dirk Hovy:
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. CoRR abs/2211.04281 (2022) - 2021
- [j1]Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto
Visual Summary Identification From Scientific Publications via Self-Supervised Learning. Frontiers Res. Metrics Anal. 6: 719004 (2021) - [c22]Soumya Barikeri, Anne Lauscher, Ivan Vulic, Goran Glavas:
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models. ACL/IJCNLP (1) 2021: 1941-1955 - [c21]Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavas, Shigeo Morishima:
Self-Supervised Learning for Visual Summary Identification in Scientific Publications. BIR@ECIR 2021: 5-19 - [c20]Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces. EACL (System Demonstrations) 2021: 91-98 - [c19]Anne Lauscher
Sustainable Modular Debiasing of Language Models. EMNLP (Findings) 2021: 4782-4797 - [c18]Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavas, Anne Lauscher, Simone Paolo Ponzetto
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. JCDL 2021: 51-60 - [p1]Anne Lauscher:
Sprachrepräsentationen für Rechnerische Argumentation. Ausgezeichnete Informatikdissertationen 2021: 151-160 - [i17]Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavas:
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces. CoRR abs/2103.06598 (2021) - [i16]Soumya Barikeri, Anne Lauscher, Ivan Vulic, Goran Glavas:
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models. CoRR abs/2106.03521 (2021) - [i15]Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. CoRR abs/2107.00281 (2021) - [i14]Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. CoRR abs/2107.00414 (2021) - [i13]Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavas, Anne Lauscher, Simone Paolo Ponzetto:
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. CoRR abs/2108.06295 (2021) - [i12]Anne Lauscher, Tobias Lüken, Goran Glavas:
Sustainable Modular Debiasing of Language Models. CoRR abs/2109.03646 (2021) - [i11]Chia-Chien Hung, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavas:
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog. CoRR abs/2110.08395 (2021) - 2020
- [c17]Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. AAAI 2020: 8131-8138 - [c16]Anne Lauscher, Ivan Vulic, Edoardo Maria Ponti, Anna Korhonen, Goran Glavas:
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity. COLING 2020: 1371-1383 - [c15]Anne Lauscher, Lily Ng, Courtney Napoles, Joel R. Tetreault:
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing. COLING 2020: 4563-4574 - [c14]Anne Lauscher, Vinit Ravishankar, Ivan Vulic, Goran Glavas:
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers. EMNLP (1) 2020: 4483-4499 - [c13]Marilena Daquino
The OpenCitations Data Model. ISWC (2) 2020: 447-463 - [c12]Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto, Goran Glavas:
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings. WANLP@COLING 2020: 192-199 - [i10]Anne Lauscher, Vinit Ravishankar, Ivan Vulic, Goran Glavas:
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers. CoRR abs/2005.00633 (2020) - [i9]Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. CoRR abs/2005.11787 (2020) - [i8]Marilena Daquino, Silvio Peroni, David M. Shotton, Giovanni Colavizza, Behnam Ghavimi, Anne Lauscher, Philipp Mayr, Matteo Romanello, Philipp Zumstein:
The OpenCitations Data Model. CoRR abs/2005.11981 (2020) - [i7]Anne Lauscher, Lily Ng, Courtney Napoles, Joel R. Tetreault:
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing. CoRR abs/2006.00843 (2020) - [i6]Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto, Goran Glavas:
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings. CoRR abs/2011.01575 (2020) - [i5]Lily Ng, Anne Lauscher, Joel R. Tetreault, Courtney Napoles:
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment. CoRR abs/2011.01589 (2020) - [i4]Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavas, Shigeo Morishima:
Self-Supervised Learning for Visual Summary Identification in Scientific Publications. CoRR abs/2012.11213 (2020)
2010 – 2019
- 2019
- [c11]Anne Lauscher
MinScIE: Citation-Centered Open Information Extraction. JCDL 2019: 386-387 - [c10]Anne Lauscher
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. *SEM@NAACL-HLT 2019: 85-91 - [i3]Anne Lauscher, Goran Glavas:
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. CoRR abs/1904.11783 (2019) - [i2]Anne Lauscher, Ivan Vulic, Edoardo Maria Ponti, Anna Korhonen, Goran Glavas:
Informing Unsupervised Pretraining with External Linguistic Knowledge. CoRR abs/1909.02339 (2019) - [i1]Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic:
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. CoRR abs/1909.06092 (2019) - 2018
- [c9]Anne Lauscher
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing. ArgMining@EMNLP 2018: 22-28 - [c8]Anne Lauscher
An Argument-Annotated Corpus of Scientific Publications. ArgMining@EMNLP 2018: 40-46 - [c7]Anne Lauscher
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models. EMNLP 2018: 3326-3338 - [c6]Anne Lauscher
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. JCDL 2018: 109-118 - [c5]Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications. SemEval@NAACL-HLT 2018: 826-830 - 2017
- [c4]Anne Lauscher, Federico Nanni, Simone Paolo Ponzetto:
Entitäten als Topic Labels: Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling. DHd 2017 - [c3]Anne Lauscher, Federico Nanni, Simone Paolo Ponzetto:
SLaTE: A System for Labeling Topics with Entities. DH 2017 - [c2]Anne Lauscher
Investigating Convolutional Networks and Domain-Specific Embeddings for Semantic Classification of Citations. WOSP@JCDL 2017: 24-28 - [c1]Anne Lauscher, Goran Glavas, Kai Eckert:
University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity. BIRNDL@SIGIR (2) 2017: 33-42
Coauthor Index
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