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Tiago Pimentel

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

51

Venues

9

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

51 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLDo Generalisation Results Generalise?Matteo Boglioni, Andrea Sgobbi, Gabriel Tavernini, Francesco Rita, Marius Mosbach, Tiago Pimentel
2026ACLWhat Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels.Aditya Yadavalli, Tiago Pimentel, Tamar I. Regev, Ethan Gotlieb Wilcox, Alex Warstadt
2025ACLCausal Estimation of Tokenisation Bias.Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2025ACLThe time scale of redundancy between prosody and linguistic context.Tamar I. Regev, Chiebuka Ohams, Shaylee Xie, Lukas Wolf, Evelina Fedorenko, Alex Warstadt, Ethan Wilcox, Tiago Pimentel
2025ACLTokenisation is NP-Complete.Philip Whittington, Gregor Bachmann, Tiago Pimentel
2025ACLUsing Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent.Ethan Wilcox, Cui Ding, Giovanni Acampa, Tiago Pimentel, Alex Warstadt, Tamar I. Regev
2025EMNLPConvergence and Divergence of Language Models under Different Random Seeds.Finlay Fehlauer, Kyle Mahowald, Tiago Pimentel
2024ACLCausal Estimation of Memorisation Profiles.Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2024ACLOn the Effect of (Near) Duplicate Subwords in Language Modelling.Anton Schfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel
2024EMNLPLocal and Global Decoding in Text Generation.Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy, Tiago Pimentel
2024EMNLPTowards a Similarity-adjusted Surprisal Theory.Clara Meister, Mario Giulianelli, Tiago Pimentel
2024EMNLPHow to Compute the Probability of a Word.Tiago Pimentel, Clara Meister
2023ACLA Measure-Theoretic Characterization of Tight Language Models.Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
2023ACLOn the Efficacy of Sampling Adapters.Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell
2023ACLA Natural Bias for Language Generation Models.Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro
2023ACLFew-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar
2023EACLOn the Intersection of Context-Free and Regular Languages.Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
2023EMNLPAn Exploration of Left-Corner Transformations.Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira
2023EMNLPRevisiting the Optimality of Word Lengths.Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell
2023EMNLPLanguage Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel
2023EMNLPQuantifying the redundancy between prosody and text.Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev
2023ICLROn the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation.Tiago Pimentel, Clara Meister, Ryan Cotterell
2022ACLProbing for the Usage of Grammatical Number.Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell
2022ACLAnalyzing Wrap-Up Effects through an Information-Theoretic Lens.Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy
2022ACLHigh probability or low information? The probability-quality paradox in language generation.Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell
2022EMNLPAttentional Probe: Estimating a Module's Functional Potential.Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell
2022LRECUniMorph 4.0: Universal Morphology.Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gbor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina J. Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esa Zumaeta Rojas, Didier Lpez Francis, Arturo Oncevay, Juan Lpez Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritvn Karahga, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer C. White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud'hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova
2022SIGIRRethinking Reinforcement Learning for Recommendation: A Prompt Perspective.Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
2021ACLModeling the Unigram Distribution.Irene Nikkarinen, Tiago Pimentel, Damin E. Blasi, Ryan Cotterell
2021EACLDisambiguatory Signals are Stronger in Word-initial Positions.Tiago Pimentel, Ryan Cotterell, Brian Roark
2021EMNLPRevisiting the Uniform Information Density Hypothesis.Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jger, Ryan Cotterell, Roger Levy
2021EMNLPA Bayesian Framework for Information-Theoretic Probing.Tiago Pimentel, Ryan Cotterell
2021EMNLPA surprisal-duration trade-off across and within the world's languages.Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damin E. Blasi, Ryan Cotterell
2021EMNLPOn Homophony and Rnyi Entropy.Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell
2021NAACLHow (Non-)Optimal is the Lexicon?Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damin E. Blasi
2021NAACLFinding Concept-specific Biases in Form-Meaning Associations.Tiago Pimentel, Brian Roark, Sren Wichmann, Ryan Cotterell, Damin E. Blasi
2021NAACLWhat About the Precedent: An Information-Theoretic Analysis of Common Law.Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel
2021NAACLA Non-Linear Structural Probe.Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell
2020ACLA Tale of a Probe and a Parser.Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell
2020ACLInformation-Theoretic Probing for Linguistic Structure.Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell
2020ACLA Corpus for Large-Scale Phonetic Typology.Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner
2020ACLPredicting Declension Class from Form and Meaning.Adina Williams, Tiago Pimentel, Hagen Blix, Arya D. McCarthy, Eleanor Chodroff, Ryan Cotterell
2020EMNLPSpeakers Fill Lexical Semantic Gaps with Context.Tiago Pimentel, Rowan Hall Maudslay, Damin E. Blasi, Ryan Cotterell
2020EMNLPPareto Probing: Trading Off Accuracy for Complexity.Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell
2020IJCNNDeep Active Learning for Anomaly Detection.Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani
2020IJCNNAssessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations.Dan Valle, Tiago Pimentel, Adriano Veloso
2019ACLMeaning to Form: Measuring Systematicity as Information.Tiago Pimentel, Arya D. McCarthy, Damin E. Blasi, Brian Roark, Ryan Cotterell
2019IJCNNEfficient Estimation of Node Representations in Large Graphs using Linear Contexts.Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani
2018ICLRFast Node Embeddings: Learning Ego-Centric Representations.Tiago Pimentel, Adriano Veloso, Nivio Ziviani
2018SPIREFast and Effective Neural Networks for Translating Natural Language into Denotations.Tiago Pimentel, Juliano Viana, Adriano Veloso, Nivio Ziviani
2017ICLRUnsupervised and Scalable Algorithm for Learning Node Representations.Tiago Pimentel, Adriano Veloso, Nivio Ziviani