Letitia Parcalabescu

Orcid: 0000-0002-3892-5629

Affiliations:
  • Heidelberg University, Germany


According to our database1, Letitia Parcalabescu authored at least 18 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency.
CoRR, April, 2026

A Family of LLMs Liberated from Static Vocabularies.
CoRR, March, 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

The Heidelberg Laureate Forum: Where Young Minds Meet Legends.
XRDS, 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

On Measuring Faithfulness or Self-consistency of Natural Language Explanations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On Measuring Faithfulness of Natural Language Explanations.
CoRR, 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
What is Multimodality?
CoRR, 2021

2020
AMR Similarity Metrics from Principles.
Trans. Assoc. Comput. Linguistics, 2020

Seeing past words: Testing the cross-modal capabilities of pretrained V&L models.
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


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