| 2026 | ACL | Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective. | Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank |
| 2026 | LREC | Resource-Lean Lexicon Induction for German Dialects. | Robert Litschko, Barbara Plank, Diego Frassinelli |
| 2026 | LREC | Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA. | Renhao Pei, Siyao Peng, Verena Blaschke, Robert Litschko, Barbara Plank |
| 2025 | COLING | Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages. | Robert Litschko, Oliver Kraus, Verena Blaschke, Barbara Plank |
| 2025 | EMNLP | Reason to Rote: Rethinking Memorization in Reasoning. | Yupei Du, Philipp Mondorf, Silvia Casola, Yuekun Yao, Robert Litschko, Barbara Plank |
| 2025 | EMNLP | Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora. | Robert Litschko, Verena Blaschke, Diana Burkhardt, Barbara Plank, Diego Frassinelli |
| 2025 | EMNLP | Evaluating Large Language Models for Cross-Lingual Retrieval. | Longfei Zuo, Pingjun Hong, Oliver Kraus, Barbara Plank, Robert Litschko |
| 2024 | EMNLP | "Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? | Beiduo Chen, Xinpeng Wang, Siyao Peng, Robert Litschko, Anna Korhonen, Barbara Plank |
| 2024 | EMNLP | To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity. | Anastasiia Sedova, Robert Litschko, Diego Frassinelli, Benjamin Roth, Barbara Plank |
| 2023 | ACL | Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data. | Robert Litschko, Ekaterina Artemova, Barbara Plank |
| 2023 | EMNLP | Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. | Robert Litschko, Max Mller-Eberstein, Rob van der Goot, Leon Weber-Genzel, Barbara Plank |
| 2023 | EMNLP | Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection. | Gretel Liz De la Pea Sarracn, Paolo Rosso, Robert Litschko, Goran Glavas, Simone Paolo Ponzetto |
| 2022 | COLING | Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval. | Robert Litschko, Ivan Vulic, Goran Glavas |
| 2021 | ECIR | Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval. | Robert Litschko, Ivan Vulic, Simone Paolo Ponzetto, Goran Glavas |
| 2020 | COLING | Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers. | Robert Litschko, Ivan Vulic, Zeljko Agic, Goran Glavas |
| 2020 | EMNLP | Probing Pretrained Language Models for Lexical Semantics. | Ivan Vulic, Edoardo Maria Ponti, Robert Litschko, Goran Glavas, Anna Korhonen |
| 2019 | ACL | How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. | Goran Glavas, Robert Litschko, Sebastian Ruder, Ivan Vulic |
| 2019 | SIGIR | Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval. | Robert Litschko, Goran Glavas, Ivan Vulic, Laura Dietz |
| 2018 | SIGIR | Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only. | Robert Litschko, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic |