Letitia Parcalabescu
Orcid: 0000-0002-3892-5629Affiliations:
- Heidelberg University, Germany
According to our database1,
Letitia Parcalabescu authored at least 18 papers
between 2020 and 2026.
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Bibliography
2026
CoRR, April, 2026
Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols.
CoRR, December, 2025
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Measuring the Contributions of Vision and Text Modalities in Multimodal Transformers.
PhD thesis, 2024
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning.
J. Artif. Intell. Res., 2022
MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
2020
CoRR, 2020
Exploring Phrase Grounding without Training: Contextualisation and Extension to Text-Based Image Retrieval.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020