Diable: Efficient Dialogue State Tracking as Operations on Tables. - Pietro Lesci; Yoshinari Fujinuma; Momchil Hardalov; Chao Shang; Lluís Màrquez (ACL (Findings), 2023)

Causal Estimation of Memorisation Profiles. - Pietro Lesci; Clara Meister; Thomas Hofmann; Andreas Vlachos 001; Tiago Pimentel (ACL (1), 2024)

Tending Towards Stability: Convergence Challenges in Small Language Models. - Richard Diehl Martinez; Pietro Lesci; Paula Buttery (EMNLP (Findings), 2024)

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets. - Pietro Lesci; Andreas Vlachos 001 (NAACL-HLT, 2024)

Causal Estimation of Tokenisation Bias. - Pietro Lesci; Clara Meister; Thomas Hofmann; Andreas Vlachos 001; Tiago Pimentel (ACL (1), 2025)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs. - Oskar van der Wal; Pietro Lesci; Max Müller-Eberstein; Naomi Saphra; Hailey Schoelkopf; Willem H. Zuidema; Stella Biderman (ICLR, 2025)

Self-Training Large Language Models for Tool-Use Without Demonstrations. - Ne Luo; Aryo Pradipta Gema; Xuanli He; Emile van Krieken; Pietro Lesci; Pasquale Minervini (NAACL (Findings), 2025)

ByteSpan: Information-Driven Subword Tokenisation. - Zébulon Goriely; Suchir Salhan; Pietro Lesci; Julius Cheng; Paula Buttery (CoRR, 2025)