CLiC-it Best Student Paper

AILC awards a prize for the best “student paper” with the aim of stimulating and recognizing works presented at the CLiC-it annual conference by young researchers.

The prize is awarded to articles that meet the following criteria: (i) the first author appears as a doctoral or master’s degree student on the date of submission and (ii) the article is presented at the conference by the student himself.

Entries are evaluated by a three-member jury, including at least one of the organizers (co-chair) of the CLiC-it conference. The choice of the award winner is unanimous.

The authors of the award-winning article are invited to submit an extended version of their work to IJCoL (Italian Journal of Computational Linguistics).

List of winners:

  • 2026
    • Luca Dini, Lucia Domenichelli, Dominique Brunato and Felice Dell’Orletta, From Weights to Representations: How Pre-Training Data Order Shapes Language Models.
    • Mention of Honor: Giorgio Sciamanna, Identifying the Factors Underlying Differential Object Marking with Language Models: analysis and comparison of Self-Paced Reading data and Transformer-based Surprisal scores.
    • Outstanding contribution to Italian NLP resources: Luca Gioffre, Marina luliana Aur, Francesco Ortame, Luca Moroni, Alberte Fernández-Castro, Elena Marafatto and Roberto Navigli, Dromedario-3: Localizing Tulu 3 Dataset to Italian &  Matteo Rinaldi, Marco Madeddu, Calogero Jerik Scozzaro, Matteo Delsanto, Daniele P. Radicioni and Viviana Patti, ALBERTurin: A Fully Open Family of Italian Encoder Models with Modern Architectures.
  • 2025
    • Cristiano Ciaccio, Gabriele Sarti, Alessio Miaschi and Felice Dell’Orletta. Crossword Space: Latent Manifold Learning for Italian Crosswords and beyond. 
  • 2024
    • Daniel Russo, Oscar Araque, Marco Guerini. To Click It or Not to Click It: An Italian Dataset for Neutralising Clickbait Headlines.
    • Mention of Honor: Federica Manzi, Leon Weber-Genzel, Barbara Plank. Fine-grained Sexism Detection in Italian Newspapers.
  • 2023
    • Andrea Santilli, Emanuele Rodolà. Camoscio. An Italian Instruction-tuned LLaMA.
    • Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Dario Balestri. Contrastive Language–Image Pre-training for the Italian
  • 2021
    • Tolulope Ògúnrẹ̀mí, Nazanin Sabri, Valerio Basile and Tommaso Caselli. Leveraging Bias in Pre-trained Word Embeddings for Unsupervised Microaggression Detection.
  • 2020
    • Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi. On Knowledge Distillation for Direct Speech Translation.
  • 2019
    • Simon Preissner, Aurelie Herbelot. To Be Fair: A Case for Cognitively-Inspired Models of Meaning.
  • 2018
    • Danilo Croce, Daniele Rossini, Roberto Basili. On the Readability of Deep Learning Models: the role of Kernel-based Deep Architectures.
  • 2017
    • Ludovica Pannitto, Lavinia Salicchi, Alessandro Lenci. AHyDA: Automatic Hypernym Detection with feature Augmentation.
  • 2016
    • Edoardo Maria Ponti, Elisabetta Jezek, Bernardo Magnini. Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding.
  • 2015
    • Daniele Bonadiman, Aliaksei Severyn, Alessandro Moschitti. Deep Neural Networks for Named Entity Recognition in Italian.
  • 2014
    • Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro. Analysing Word Meaning over Time by Exploiting Temporal Random Indexing.