Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only. - Robert Litschko; Goran Glavas; Simone Paolo Ponzetto; Ivan Vulic (SIGIR, 2018)

Trec-CAR 2018: A Simple Unsupervised Semantic Query Expansion Model. - Robert Litschko; Federico Nanni; Goran Glavas (TREC, 2018)

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. - Goran Glavas; Robert Litschko; Sebastian Ruder; Ivan Vulic (ACL (1), 2019)

Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval. - Robert Litschko; Goran Glavas; Ivan Vulic; Laura Dietz (SIGIR, 2019)

Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers. - Robert Litschko; Ivan Vulic; Zeljko Agic; Goran Glavas (COLING, 2020)

Probing Pretrained Language Models for Lexical Semantics. - Ivan Vulic; Edoardo Maria Ponti; Robert Litschko; Goran Glavas; Anna Korhonen (EMNLP (1), 2020)

Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval. - Robert Litschko; Ivan Vulic; Simone Paolo Ponzetto; Goran Glavas (ECIR (1), 2021)

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval. - Robert Litschko; Ivan Vulic; Goran Glavas (COLING, 2022)

ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System. - Chia-Chien Hung; Tommaso Green; Robert Litschko; Tornike Tsereteli; Sotaro Takeshita; Marco Bombieri; Goran Glavas; Simone Paolo Ponzetto (CoRR, 2022)

On cross-lingual retrieval with multilingual text encoders. - Robert Litschko; Ivan Vulic; Simone Paolo Ponzetto; Goran Glavas (Inf. Retr. J., 2022)

Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data. - Robert Litschko; Ekaterina Artemova; Barbara Plank (ACL (Findings), 2023)

Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. - Robert Litschko; Max Müller-Eberstein; Rob van der Goot; Leon Weber-Genzel; Barbara Plank (EMNLP, 2023)

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection. - Gretel Liz De la Peña Sarracén; Paolo Rosso; Robert Litschko; Goran Glavas; Simone Paolo Ponzetto (EMNLP, 2023)

A General-Purpose Multilingual Document Encoder. - Onur Galoglu; Robert Litschko; Goran Glavas (CoRR, 2023)

Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets? - Leon Weber-Genzel; Robert Litschko; Ekaterina Artemova; Barbara Plank (CoRR, 2023)

"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? - Beiduo Chen; Xinpeng Wang 003; Siyao Peng; Robert Litschko; Anna Korhonen; Barbara Plank (EMNLP (Findings), 2024)

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity. - Anastasiia Sedova; Robert Litschko; Diego Frassinelli; Benjamin Roth 001; Barbara Plank (EMNLP (Findings), 2024)

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness. - Shijia Zhou; Huangyan Shan; Barbara Plank; Robert Litschko (SemEval@NAACL, 2024)

An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification. - Kassem Sabeh; Robert Litschko; Mouna Kacimi; Barbara Plank; Johann Gamper (CoRR, 2024)

Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities? - Anastasiia Sedova; Robert Litschko; Diego Frassinelli; Benjamin Roth 001; Barbara Plank (CoRR, 2024)

Exploring Large Language Models for Product Attribute Value Identification. - Kassem Sabeh; Mouna Kacimi; Johann Gamper; Robert Litschko; Barbara Plank (CoRR, 2024)

Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages. - Robert Litschko; Oliver Kraus; Verena Blaschke; Barbara Plank (COLING, 2025)

Reason to Rote: Rethinking Memorization in Reasoning. - Yupei Du; Philipp Mondorf; Silvia Casola; Yuekun Yao; Robert Litschko; Barbara Plank (CoRR, 2025)