Robert Litschko

According to our database1, Robert Litschko authored at least 22 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Exploring Large Language Models for Product Attribute Value Identification.
CoRR, 2024

Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities?
CoRR, 2024

An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification.
CoRR, 2024

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
CoRR, 2023

A General-Purpose Multilingual Document Encoder.
CoRR, 2023

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
On cross-lingual retrieval with multilingual text encoders.
Inf. Retr. J., 2022

ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System.
CoRR, 2022

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval.
Proceedings of the Advances in Information Retrieval, 2021

2020
Probing Pretrained Language Models for Lexical Semantics.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Trec-CAR 2018: A Simple Unsupervised Semantic Query Expansion Model.
Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018


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