Federico Bianchi

Federico Bianchi

Postdoctoral Researcher at Stanford University

Stanford University


Hello! I am Federico Bianchi, I am a post-doctoral researcher at Stanford University with Prof. Dan Jurafsky.

You can find my work in the main track of different AI venues (e.g., NAACL, EACL, AAAI, ACL, ICLR, RecSys) and Journals (e.g., Cognitive Science, Nature PJQI, SWJ) and my work as also been featured in press or in company media outlets (see, 1, 2, 3, 4).

I have experience in building and deploying large language models (e.g., FashionCLIP), model understanding (e.g., VLMs Analysis) and fairness in recommender systems (e.g., EvalRS).

I recently joined the Giving What We Can initiative and donate monthly; You should consider joining, if you can. While I haven’t formally pledged yet, I hope to be able to do so soon.

  • Artificial Intelligence
  • Natural Language Processing
  • Capybaras
  • PhD in Computer Science, 2020

    University of Milano-Bicocca

  • MSc in Computer Science, 2016

    University of Milano-Bicocca

  • BSc in Computer Science, 2014

    University of Milano-Bicocca

Research Philosophy

I think scientific research should be easy to access and to replicate. You can find most of my papers on ArXiv and on open access platforms - unfortunately, this is not always possible. The code I write is available online and I try to make it easy to use so that everyone can benefit from it.

I also try to actively participate in scientific communication. I have many blog posts online, explaining different research topics to the public and I am also part of the ComIntArt (Comitato Intelligenza Artificiale) where I do videos for the Italian public (see for example, this video on GPT-3 limits).

Recent Publications

Quickly discover relevant content by filtering publications. You can also look at my Google Scholar profile for an updated list of my publications.
(2022). Language Invariant Properties in Natural Language Processing. In NLP Power!.

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(2022). Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. Second Workshop on Language Technology for Equality, Diversity and Inclusion at ACL 2022.

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(2022). XLM-EMO: Multilingual Emotion Prediction in Social Media Text. 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis at EACL 2021.

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(2022). Pipelines for Social Bias Testing of Large Language Models. First Workshop on Challenges & Perspectives in Creating Large Language Models at ACL 2022.

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