Federico Bianchi

Federico Bianchi

Postdoctoral Researcher

Bocconi University


Hello! I am Federico Bianchi, a post-doctoral researcher at Bocconi University (with Prof. Dirk Hovy), Milan, Italy.

You can find my work in the main track of different AI venues (e.g., NAACL, EACL, AAAI, ACL, ISWC, RecSys) and Q1 Journals (e.g., Cognitive Science, Nature PJQI, SWJ) and a few things have also been featured in press or in company media outlets (see, 1, 2, 3, 4).

I have different interests that range from neuro-symbolic learning and reasoning to natural language processing and from quantum physics to deep learning for the e-commerce.

I have also worked/collaborated with companies: I have collaborated as a Data Scientist for Instal LLC and I have an ongoing research collaboration with people at Coveo on e-commerce and recommendation research. In the past, I worked as a full-stack software developer for Mobave LLC (later acquired by Instal) and for Whattaspot.

  • Artificial Intelligence
  • Computational Linguistics
  • Cats
  • Emacs
  • Reasoning
  • 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.
(2021). On the Gap between Adoption and Understanding in NLP. In Findings of the Association for Computational Linguistics.

Cite Blog Post

(2021). Query2Prod2Vec: Grounded Word Embeddings for eCommerce. In NAACL-HLT.

PDF Cite Best Industry Paper Award

(2021). BERTective: Language Models and Contextual Information for Deception Detection. In EACL.