Faithfully Explaining Rankings in a News Recommender System. - Maartje ter Hoeve; Anne Schuth; Daan Odijk; Maarten de Rijke (CoRR, 2018)

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)

Understanding Multi-Head Attention in Abstractive Summarization. - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)

Conversations with Documents: An Exploration of Document-Centered Assistance. - Maartje ter Hoeve; Robert Sim; Elnaz Nouri; Adam Fourney; Maarten de Rijke; Ryen W. White (CHIIR, 2020)

Conditional Image Generation and Manipulation for User-Specified Content. - David Stap; Maurits J. R. Bleeker; Sarah Ibrahimi; Maartje ter Hoeve (CoRR, 2020)

What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization. - Maartje ter Hoeve; Julia Kiseleva; Maarten de Rijke (CoRR, 2020)

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (NeurIPS (Competition and Demos), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. - Julia Kiseleva; Ziming Li 001; Mohammad Aliannejadi; Shrestha Mohanty; Maartje ter Hoeve; Mikhail Burtsev 001; Alexey Skrynnik; Artem Zholus; Aleksandr I. Panov; Kavya Srinet; Arthur Szlam; Yuxuan Sun 004; et al. (CoRR, 2021)

Towards Interactive Language Modeling. - Maartje ter Hoeve; Evgeny Kharitonov; Dieuwke Hupkes; Emmanuel Dupoux (CoRR, 2021)

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Ana Lucic; Maartje A. ter Hoeve; Gabriele Tolomei; Maarten de Rijke; Fabrizio Silvestri (AISTATS, 2022)

What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research. - Maartje ter Hoeve; Julia Kiseleva; Maarten de Rijke (NAACL-HLT, 2022)

Summarization with Graphical Elements. - Maartje ter Hoeve; Julia Kiseleva; Maarten de Rijke (CoRR, 2022)

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (CoRR, 2022)

High-Resource Methodological Bias in Low-Resource Investigations. - Maartje ter Hoeve; David Grangier; Natalie Schluter (CoRR, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization. - Yong Lin; Skyler Seto; Maartje ter Hoeve; Katherine Metcalf; Barry-John Theobald; Xuan Wang; Yizhe Zhang; Chen Huang; Tong Zhang 001 (EMNLP (Findings), 2024)

On the Way to LLM Personalization: Learning to Remember User Conversations. - Lucie Charlotte Magister; Katherine Metcalf; Yizhe Zhang; Maartje ter Hoeve (CoRR, 2024)

Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter. - Verena Blaschke; Masha Fedzechkina; Maartje ter Hoeve (ACL (Findings), 2025)

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages. - Hellina Hailu Nigatu; Min Li; Maartje ter Hoeve; Saloni Potdar; Sarah E. Chasins (ACL (Findings), 2025)

GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning. - Rita Ramos; Everlyn Asiko Chimoto; Maartje ter Hoeve; Natalie Schluter (ACL (1), 2025)

Training Bilingual LMs with Data Constraints in the Targeted Language. - Skyler Seto; Maartje ter Hoeve; Richard He Bai; Natalie Schluter; David Grangier (ACL (Findings), 2025)

Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks. - Maureen de Seyssel; Jie Chi; Skyler Seto; Maartje ter Hoeve; Masha Fedzechkina; Natalie Schluter (CoRR, 2025)

Assessing the Role of Data Quality in Training Bilingual Language Models. - Skyler Seto; Maartje ter Hoeve; Maureen de Seyssel; David Grangier (CoRR, 2025)