| Probing Pretrained Language Models for Lexical Semantics I Vulić, EM Ponti, R Litschko, G Glavaš, A Korhonen EMNLP 2020, 2020 | 237 | 2020 |
| How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions G Glavaš, R Litschko, S Ruder, I Vulić ACL 2019, 2019 | 199 | 2019 |
| Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only R Litschko, G Glavaš, SP Ponzetto, I Vulić SIGIR 2018, 2018 | 83 | 2018 |
| On Cross-Lingual Retrieval with Multilingual Text Encoders R Litschko, I Vulić, SP Ponzetto, G Glavaš Information Retrieval Journal 25 (2), 2022 | 34 | 2022 |
| Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval R Litschko, I Vulić, SP Ponzetto, G Glavaš ECIR 2021, 2021 | 27 | 2021 |
| Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval R Litschko, G Glavaš, I Vulic, L Dietz SIGIR 2019, 2019 | 24 | 2019 |
| Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval R Litschko, I Vulić, G Glavaš COLING 2022, 2022 | 12 | 2022 |
| Establishing Trustworthiness: Rethinking Tasks and Model Evaluation R Litschko*, M Müller-Eberstein*, R van der Goot, L Weber, B Plank EMNLP 2023 (Main), 2023 | 4 | 2023 |
| Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data R Litschko, E Artemova, B Plank ACL 2023 (Findings), 2023 | 3 | 2023 |
| Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers R Litschko, I Vulić, Ž Agić, G Glavaš COLING 2020, 2020 | 3 | 2020 |
| An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification K Sabeh, R Litschko, M Kacimi, B Plank, J Gamper arXiv preprint arXiv:2407.01137, 2024 | 2 | 2024 |
| A General-Purpose Multilingual Document Encoder O Galoğlu, R Litschko, G Glavaš EMNLP 2023 (MRL Workshop), 2023 | 1 | 2023 |
| ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System CC Hung, T Green, R Litschko, T Tsereteli, S Takeshita, M Bombieri, ... NAACL 2022 (MIA Workshop), 2022 | 1 | 2022 |
| Exploring Large Language Models for Product Attribute Value Identification K Sabeh, M Kacimi, J Gamper, R Litschko, B Plank arXiv preprint arXiv:2409.12695, 2024 | | 2024 |
| Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities? A Sedova*, R Litschko*, D Frassinelli, B Roth, B Plank arXiv preprint arXiv:2407.17125, 2024 | | 2024 |
| "Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? B Chen, X Wang, S Peng, R Litschko, A Korhonen, B Plank arXiv preprint arXiv:2406.17600, 2024 | | 2024 |
| MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness S Zhou, H Shan, B Plank, R Litschko NAACL 2024 (SemEval Workshop), 2024 | | 2024 |
| Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets L Weber, R Litschko, E Artemova, B Plank EACL 2024 (LAW Workshop), 2024 | | 2024 |
| Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection G De la Peña Sarracén, P Rosso, R Litschko, G Glavaš, SP Ponzetto EMNLP 2023 (Main), 2023 | | 2023 |
Goran GlavašProfessor of Computer Science (Chair for Natural Language Processing), University of WürzburgBestätigte E-Mail-Adresse bei uni-wuerzburg.de
