Letitia Parcalabescu
8 papers · 2021–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types Β· Machine Learning
(2)
Models
(2)
Application Areas
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Understanding
(1)
Keywords
vision-language model
(4)
multimodal learning
(4)
model interpretability
(2)
object detection
(1)
in-context learning
(1)
chain-of-thought reasoning
(1)
model evaluation
(1)
german language
(1)
explanation generation
(1)
temporal grounding
(1)
synthetic data generation
(1)
bias mitigation
(1)
pre-trained model
(1)
evaluation metric
(1)
video-language model
(1)
shapley value
(1)
model interpretation
(1)
explanation faithfulness
(1)
data curation
(1)
linguistic phenomenon
(1)
Papers
Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation
EACL 2026
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
ICLR 2025
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
ACL 2024
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
ICLR 2024
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
ACL 2023
MAGMA β Multimodal Augmentation of Generative Models through Adapter-based Finetuning
EMNLP 2022
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
ACL 2022
Grounding Plural Phrases: Countering Evaluation Biases by Individuation
NAACL 2021