Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. - Yova Kementchedjhieva; Sebastian Ruder; Ryan Cotterell; Anders Søgaard (CoNLL, 2018)

Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. - Yova Kementchedjhieva; Johannes Bjerva; Isabelle Augenstein (CoNLL Shared Task (1), 2018)

Why is unsupervised alignment of English embeddings from different algorithms so hard? - Mareike Hartmann; Yova Kementchedjhieva; Anders Søgaard (EMNLP, 2018)

'Indicatements' that character language models learn English morpho-syntactic units and regularities. - Yova Kementchedjhieva; Adam Lopez (BlackboxNLP@EMNLP, 2018)

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. - Sebastian Ruder; Ryan Cotterell; Yova Kementchedjhieva; Anders Søgaard (EMNLP, 2018)

How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? - Hila Gonen; Yova Kementchedjhieva; Yoav Goldberg (WNLP@ACL, 2019)

Uncovering Probabilistic Implications in Typological Knowledge Bases. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (ACL (1), 2019)

Adversarial Removal of Demographic Attributes Revisited. - Maria Barrett; Yova Kementchedjhieva; Yanai Elazar; Desmond Elliott; Anders Søgaard (EMNLP/IJCNLP (1), 2019)

Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction. - Yova Kementchedjhieva; Mareike Hartmann; Anders Søgaard (EMNLP/IJCNLP (1), 2019)

A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages. - Clara Vania; Yova Kementchedjhieva; Anders Søgaard; Adam Lopez (EMNLP/IJCNLP (1), 2019)

A Probabilistic Generative Model of Linguistic Typology. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT (1), 2019)

Comparing Unsupervised Word Translation Methods Step by Step. - Mareike Hartmann; Yova Kementchedjhieva; Anders Søgaard (NeurIPS, 2019)

PuzzLing Machines: A Challenge on Learning From Small Data. - Gözde Gül Sahin; Yova Kementchedjhieva; Phillip Rust; Iryna Gurevych (ACL, 2020)

The ApposCorpus: a new multilingual, multi-domain dataset for factual appositive generation. - Yova Kementchedjhieva; Di Lu 003; Joel R. Tetreault (COLING, 2020)

John praised Mary because _he_? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs. - Yova Kementchedjhieva; Mark Anderson 005; Anders Søgaard (ACL/IJCNLP (Findings), 2021)

A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs. - Mareike Hartmann; Miryam de Lhoneux; Daniel Hershcovich; Yova Kementchedjhieva; Lukas Nielsen; Chen Qiu 005; Anders Søgaard (CoNLL, 2021)

Dynamic Forecasting of Conversation Derailment. - Yova Kementchedjhieva; Anders Søgaard (EMNLP (1), 2021)

John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs. - Yova Kementchedjhieva; Mark Anderson 005; Anders Søgaard (CoRR, 2021)

An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text. - Yova Kementchedjhieva; Ilias Chalkidis (ACL (Findings), 2023)

Smallcap: Lightweight Image Captioning Prompted with Retrieval Augmentation. - Rita Ramos; Bruno Martins 001; Desmond Elliott; Yova Kementchedjhieva (CVPR, 2023)

Grammatical Error Correction through Round-Trip Machine Translation. - Yova Kementchedjhieva; Anders Søgaard (EACL (Findings), 2023)

Structural Similarities Between Language Models and Neural Response Measurements. - Jiaang Li 002; Antonia Karamolegkou; Yova Kementchedjhieva; Mostafa Abdou; Anders Søgaard (NeurReps, 2023)

Implications of the Convergence of Language and Vision Model Geometries. - Jiaang Li 002; Yova Kementchedjhieva; Anders Søgaard (CoRR, 2023)

Retrieval-augmented Multi-label Text Classification. - Ilias Chalkidis; Yova Kementchedjhieva (CoRR, 2023)

Large Language Models Converge on Brain-Like Word Representations. - Jiaang Li 002; Antonia Karamolegkou; Yova Kementchedjhieva; Mostafa Abdou; Sune Lehmann; Anders Søgaard (CoRR, 2023)

MuLan: A Study of Fact Mutability in Language Models. - Constanza Fierro; Nicolas Garneau; Emanuele Bugliarello; Yova Kementchedjhieva; Anders Søgaard (NAACL (Short Papers), 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

Answerability in Retrieval-Augmented Open-Domain Question Answering. - Rustam Abdumalikov; Pasquale Minervini; Yova Kementchedjhieva (CoRR, 2024)

Multimodal Large Language Models to Support Real-World Fact-Checking. - Jiahui Geng; Yova Kementchedjhieva; Preslav Nakov; Iryna Gurevych (CoRR, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval. - Muhammad Huzaifa; Yova Kementchedjhieva (CoRR, 2024)

Cultural Adaptation of Recipes. - Yong Cao 001; Yova Kementchedjhieva; Ruixiang Cui; Antonia Karamolegkou; Li Zhou 010; Megan Dare; Lucia Donatelli; Daniel Hershcovich (Trans. Assoc. Comput. Linguistics, 2024)

Do Vision and Language Models Share Concepts? A Vector Space Alignment Study. - Jiaang Li 002; Yova Kementchedjhieva; Constanza Fierro; Anders Søgaard (Trans. Assoc. Comput. Linguistics, 2024)

Noise is an Efficient Learner for Zero-Shot Vision-Language Models. - Raza Imam; Asif Hanif; Jian Zhang; Khaled Waleed Dawoud; Yova Kementchedjhieva; Mohammad Yaqub (CoRR, 2025)

JEEM: Vision-Language Understanding in Four Arabic Dialects. - Karima Kadaoui; Hanin Atwany; Hamdan Al-Ali; Abdelrahman Mohamed; Ali Mekky; Sergei Tilga; Natalia Fedorova; Ekaterina Artemova; Hanan Aldarmaki; Yova Kementchedjhieva (CoRR, 2025)

Overcoming Vocabulary Constraints with Pixel-level Fallback. - Jonas F. Lotz; Hendra Setiawan; Stephan Peitz; Yova Kementchedjhieva (CoRR, 2025)

LLMs Can Compensate for Deficiencies in Visual Representations. - Sho Takishita; Jay P. Gala; Abdelrahman Mohamed; Kentaro Inui; Yova Kementchedjhieva (CoRR, 2025)

The Devil is in the EOS: Sequence Training for Detailed Image Captioning. - Abdelrahman Mohamed; Yova Kementchedjhieva (CoRR, 2025)

CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning. - George Ibrahim; Rita Ramos; Yova Kementchedjhieva (CoRR, 2025)