Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings. - Mario Giulianelli (CoRR, 2017)

Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. - Mario Giulianelli; Jack Harding; Florian Mohnert; Dieuwke Hupkes; Willem H. Zuidema (BlackboxNLP@EMNLP, 2018)

Analysing Lexical Semantic Change with Contextualised Word Representations. - Mario Giulianelli; Marco Del Tredici; Raquel Fernández (ACL, 2020)

Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. - Ece Takmaz; Mario Giulianelli; Sandro Pezzelle; Arabella Sinclair; Raquel Fernández (EMNLP (1), 2020)

UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. - Andrey Kutuzov; Mario Giulianelli (SemEval@COLING, 2020)

Analysing Human Strategies of Information Transmission as a Function of Discourse Context. - Mario Giulianelli; Raquel Fernández (CoNLL, 2021)

Grammatical Profiling for Semantic Change Detection. - Andrey Kutuzov; Lidia Pivovarova; Mario Giulianelli (CoNLL, 2021)

Is Information Density Uniform in Task-Oriented Dialogues? - Mario Giulianelli; Arabella Sinclair; Raquel Fernández (EMNLP (1), 2021)

Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change. - Mario Giulianelli; Andrey Kutuzov; Lidia Pivovarova (LChange@ACL, 2022)

Towards Pragmatic Production Strategies for Natural Language Generation Tasks. - Mario Giulianelli (EMNLP, 2022)

Construction Repetition Reduces Information Rate in Dialogue. - Mario Giulianelli; Arabella Sinclair; Raquel Fernández (AACL/IJCNLP (1), 2022)

AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models. - Samuel Ryb; Mario Giulianelli; Arabella Sinclair; Raquel Fernández (*SEM@NAACL-HLT, 2022)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis. - Mario Giulianelli; Iris Luden; Raquel Fernández; Andrey Kutuzov (ACL (1), 2023)

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. - Ece Takmaz; Nicolo' Brandizzi; Mario Giulianelli; Sandro Pezzelle; Raquel Fernández (ACL (Findings), 2023)

Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue. - Aron Molnar; Jaap Jumelet; Mario Giulianelli; Arabella Sinclair (CoNLL, 2023)

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. - Mario Giulianelli; Joris Baan; Wilker Aziz; Raquel Fernández; Barbara Plank (EMNLP, 2023)

Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives. - Mario Giulianelli; Sarenne Wallbridge; Raquel Fernández (EMNLP, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

A taxonomy and review of generalization research in NLP. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos E. Christodoulopoulos; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (Nat. Mac. Intell., 2023)

Efficiency and Effectiveness in Task-Oriented Dialogue: On Construction Repetition, Information Rate, and Task Success. - Jun Sen Yee; Mario Giulianelli; Arabella J. Sinclair (LREC/COLING, 2024)

On the Proper Treatment of Tokenization in Psycholinguistics. - Mario Giulianelli; Luca Malagutti; Juan Luis Gastaldi; Brian DuSell; Tim Vieira; Ryan Cotterell (EMNLP, 2024)

Generalized Measures of Anticipation and Responsivity in Online Language Processing. - Mario Giulianelli; Andreas Opedal; Ryan Cotterell (EMNLP (Findings), 2024)

Towards a Similarity-adjusted Surprisal Theory. - Clara Meister; Mario Giulianelli; Tiago Pimentel (EMNLP, 2024)

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. - Eleftheria Tsipidi; Franz Nowak; Ryan Cotterell; Ethan Wilcox; Mario Giulianelli; Alex Warstadt (EMNLP, 2024)

LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models. - Ivar Frisch; Mario Giulianelli (CoRR, 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

From Language Models over Tokens to Language Models over Characters. - Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2024)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior. - Francesco Ignazio Re; Andreas Opedal; Glib Manaiev; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

Information Locality as an Inductive Bias for Neural Language Models. - Taiga Someya; Anej Svete; Brian DuSell; Timothy J. O'Donnell; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

The Harmonic Structure of Information Contours. - Eleftheria Tsipidi; Samuel Kiegeland; Franz Nowak; Tianyang Xu; Ethan Wilcox; Alex Warstadt; Ryan Cotterell; Mario Giulianelli (ACL (1), 2025)

Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests. - Filippo Momentè; Alessandro Suglia; Mario Giulianelli; Ambra Ferrari; Alexander Koller; Oliver Lemon; David Schlangen; Raquel Fernández; Raffaella Bernardi (CoRR, 2025)

Playpen: An Environment for Exploring Learning Through Conversational Interaction. - Nicola Horst; Davide Mazzaccara; Antonia Schmidt; Michael Sullivan; Filippo Momentè; Luca Franceschetti; Philipp Sadler; Sherzod Hakimov; Alberto Testoni; Raffaella Bernardi; Raquel Fernández; Alexander Koller; et al. (CoRR, 2025)

Language Models over Canonical Byte-Pair Encodings. - Tim Vieira; Tianyu Liu 004; Clemente Pasti; Yahya Emara; Brian DuSell; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)

Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language. - Christopher Summerfield; Lennart Luettgau; Magda Dubois; Hannah Rose Kirk; Kobi Hackenburg; Catherine Fist; Katarina Slama; Nicola Ding; Rebecca Anselmetti; Andrew Strait; Mario Giulianelli; Cozmin Ududec (CoRR, 2025)

Skewed Score: A statistical framework to assess autograders. - Magda Dubois; Harry Coppock; Mario Giulianelli; Timo Flesch; Lennart Luettgau; Cozmin Ududec (CoRR, 2025)