Maartje ter Hoeve

Affiliations:
  • University of Amsterdam, The Netherlands


According to our database1, Maartje ter Hoeve authored at least 27 papers between 2018 and 2026.

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Bibliography

2026
Multilingual Knowledge Transfer under Data Constraints via Lexical Interventions.
CoRR, May, 2026

How Value Induction Reshapes LLM Behaviour.
CoRR, May, 2026

2025
Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Assessing the Role of Data Quality in Training Bilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Training Bilingual LMs with Data Constraints in the Targeted Language.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
On the Way to LLM Personalization: Learning to Remember User Conversations.
CoRR, 2024

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

2022
High-Resource Methodological Bias in Low-Resource Investigations.
CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.
CoRR, 2022

Summarization with Graphical Elements.
CoRR, 2022

What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Towards Interactive Language Modeling.
CoRR, 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.
CoRR, 2021



2020
What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization.
CoRR, 2020

Conditional Image Generation and Manipulation for User-Specified Content.
CoRR, 2020

Conversations with Documents: An Exploration of Document-Centered Assistance.
Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020

2019
Understanding Multi-Head Attention in Abstractive Summarization.
CoRR, 2019

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
CoRR, 2019

2018
Faithfully Explaining Rankings in a News Recommender System.
CoRR, 2018


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