Laura Cabello
Hey! I am Laura Cabello, a third-year PhD student at CoAStaL, the Natural Language Processing group led by Anders Søgaard at the University of Copenhagen.
I am particularly interested in the social implications of large scale language models. NLP is rapidly expanding across industries and it is our responsibility to design safe and equitable models to deploy them in practice. Currently, I am digging deeper into analyzing social bias and fairness in language and language-and-vision models. Lately, I'm also interested in deploying robust, scalable models by integrating knowledge graphs into language models.
Whenever I am not in research mode, you can find me bouldering, trying out innovative recipes (shout out to Gipsy Chef) or enjoying a good craft beer (and luckily Copenhagen is the perfect city for it). And coffee. I love coffee.
I grew up in Zaragoza (Spain), where I obtained my MSc in Telecommunication Engineering at the University of Zaragoza (2017) and worked as a Software Engineer for over 3 years.
I always keep an eye on my e-mail: lcp [at] di [dot] ku [dot] dk
News
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[05/2024] Out paper was accepted to ACL Findings! More coming soon
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[03/2024] I am co-organising the 2nd Workshop on Cross-Cultural Considerations in NLP, co-located @ ACL 2024. Call for papers is out!
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[12/2023] 1st meeting of Beers with NLPeers @ Zaragoza (Spain)
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[11/2023] Starting as a Research Intern @ Sony AI (Tokyo office)
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[08/2023] New interview at Børsen about our work on Cultural bias in ChatGPT
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[07/2023] Our work on Cultural bias in ChatGPT appeared in several Danish media, including Politiken, Børsen, Danish TV2, Ekstra Bladet, University of Copenhagen
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[07/2023] Interview at University of Copenhagen about our work on Cultural bias in ChatGPT
Selected Publications
2024
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MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Laura Cabello, Carmen Martin-Turrero, Uchenna Akujuobi, Anders Søgaard, Carlos Bobed
arXiv preprint
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It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
Laura Cabello, Uchenna Akujuobi
Findings ACL 2024
2023
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Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello, Emanuele Bugliarello, Stephanie Brandl, Desmond Elliot
EMNLP 2023
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Rather a Nurse than a Physician - Contrastive Explanations under Investigation
Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl
EMNLP 2023
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Being Right for Whose Right Reasons?
Terne Sasha Thorn Jakobsen*, Laura Cabello*, Anders Søgaard
ACL 2023
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On the Independence of Association Bias and Empirical Fairness in Language Models
Laura Cabello, Anna Katrine Jørgensen, Anders Søgaard
ACM FAccT 2023
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Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Li Zhou, Laura Cabello, Yong Cao, Daniel Hershcovich
C3NLP@EACL23
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Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, Daniel Hershcovich
C3NLP@EACL23
2022
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Are Pretrained Multilingual Models Equally Fair across Languages?
Laura Cabello Piqueras, Anders Søgaard
COLING 2022
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Date Recognition in Historical Parish Records
Laura Cabello Piqueras*, Constanza Fierro*, Jonas F. Lotz*, Phillip Rust*, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard
The 18th International Conference on Frontiers of Handwriting Recognition
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Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard
ACL 2022
Stays/Internship
- Research Intern @ Sony AI (Japan). Present
- Stay @ Tampere Univerity (TUT), Audio Group. 2016
- Intern @ Media Global Links (Japan). 2015
- CIBER-BBN Research Grant. Stay @ BSICoS (Spain). 2014