Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. - Clara Meister; Elizabeth Salesky; Ryan Cotterell (ACL, 2020)

If beam search is the answer, what was the question? - Clara Meister; Ryan Cotterell; Tim Vieira (EMNLP (1), 2020)

Structure-invariant testing for machine translation. - Pinjia He; Clara Meister; Zhendong Su 001 (ICSE, 2020)

SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team. - Martina Forster; Clara Meister (SIGMORPHON, 2020)

Machine translation testing via pathological invariance. - Shashij Gupta; Pinjia He; Clara Meister; Zhendong Su 001 (ESEC/SIGSOFT FSE, 2020)

Best-First Beam Search. - Clara Meister; Ryan Cotterell; Tim Vieira (Trans. Assoc. Comput. Linguistics, 2020)

Language Model Evaluation Beyond Perplexity. - Clara Meister; Ryan Cotterell (ACL/IJCNLP (1), 2021)

Determinantal Beam Search. - Clara Meister; Martina Forster; Ryan Cotterell (ACL/IJCNLP (1), 2021)

Is Sparse Attention more Interpretable? - Clara Meister; Stefan Lazov; Isabelle Augenstein; Ryan Cotterell (ACL/IJCNLP (2), 2021)

A Cognitive Regularizer for Language Modeling. - Jason Wei; Clara Meister; Ryan Cotterell (ACL/IJCNLP (1), 2021)

Searching for Search Errors in Neural Morphological Inflection. - Martina Forster; Clara Meister; Ryan Cotterell (EACL, 2021)

Conditional Poisson Stochastic Beams. - Clara Meister; Afra Amini; Tim Vieira; Ryan Cotterell (EMNLP (1), 2021)

Revisiting the Uniform Information Density Hypothesis. - Clara Meister; Tiago Pimentel; Patrick Haller 001; Lena A. Jäger; Ryan Cotterell; Roger Levy (EMNLP (1), 2021)

A Plug-and-Play Method for Controlled Text Generation. - Damian Pascual; Beni Egressy; Clara Meister; Ryan Cotterell; Roger Wattenhofer (EMNLP (Findings), 2021)

A surprisal-duration trade-off across and within the world's languages. - Tiago Pimentel; Clara Meister; Elizabeth Salesky; Simone Teufel; Damián E. Blasi; Ryan Cotterell (EMNLP (1), 2021)

On Homophony and Rényi Entropy. - Tiago Pimentel; Clara Meister; Simone Teufel; Ryan Cotterell (EMNLP (1), 2021)

Testing Machine Translation via Referential Transparency. - Pinjia He; Clara Meister; Zhendong Su 001 (ICSE, 2021)

Conditional Poisson Stochastic Beam Search. - Clara Meister; Afra Amini; Tim Vieira; Ryan Cotterell (CoRR, 2021)

Estimating the Entropy of Linguistic Distributions. - Aryaman Arora; Clara Meister; Ryan Cotterell (ACL (2), 2022)

Analyzing Wrap-Up Effects through an Information-Theoretic Lens. - Clara Meister; Tiago Pimentel; Thomas Hikaru Clark; Ryan Cotterell; Roger Levy (ACL (2), 2022)

High probability or low information? The probability-quality paradox in language generation. - Clara Meister; Gian Wiher; Tiago Pimentel; Ryan Cotterell (ACL (2), 2022)

Mutual Information Alleviates Hallucinations in Abstractive Summarization. - Liam van der Poel; Ryan Cotterell; Clara Meister (EMNLP, 2022)

Typical Decoding for Natural Language Generation. - Clara Meister; Tiago Pimentel; Gian Wiher; Ryan Cotterell (CoRR, 2022)

On the probability-quality paradox in language generation. - Clara Meister; Gian Wiher; Tiago Pimentel; Ryan Cotterell (CoRR, 2022)

Cluster-based Evaluation of Automatically Generated Text. - Tiago Pimentel; Clara Meister; Ryan Cotterell (CoRR, 2022)

On Decoding Strategies for Neural Text Generators. - Clara Meister; Gian Wiher; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2022)

A Measure-Theoretic Characterization of Tight Language Models. - Li Du; Lucas Torroba Hennigen; Tiago Pimentel; Clara Meister; Jason Eisner; Ryan Cotterell (ACL (1), 2023)

On the Efficacy of Sampling Adapters. - Clara Meister; Tiago Pimentel; Luca Malagutti; Ethan Wilcox; Ryan Cotterell (ACL (1), 2023)

A Natural Bias for Language Generation Models. - Clara Meister; Wojciech Stokowiec; Tiago Pimentel; Lei Yu 008; Laura Rimell; Adhiguna Kuncoro (ACL (2), 2023)

Tokenization and the Noiseless Channel. - Vilém Zouhar; Clara Meister; Juan Luis Gastaldi; Li Du; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2023)

A Formal Perspective on Byte-Pair Encoding. - Vilém Zouhar; Clara Meister; Juan Luis Gastaldi; Li Du; Tim Vieira; Mrinmaya Sachan; Ryan Cotterell (ACL (Findings), 2023)

Generating Text from Language Models. - Afra Amini; Ryan Cotterell; John Hewitt; Clara Meister; Tiago Pimentel (ACL (tutorial), 2023)

Revisiting the Optimality of Word Lengths. - Tiago Pimentel; Clara Meister; Ethan Wilcox; Kyle Mahowald; Ryan Cotterell (EMNLP, 2023)

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. - Ethan Wilcox; Clara Meister; Ryan Cotterell; Tiago Pimentel (EMNLP, 2023)

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. - Tiago Pimentel; Clara Meister; Ryan Cotterell (ICLR, 2023)

Formal Aspects of Language Modeling. - Ryan Cotterell; Anej Svete; Clara Meister; Tianyu Liu 004; Li Du (CoRR, 2023)

Naturalistic Causal Probing for Morpho-Syntax. - Afra Amini; Tiago Pimentel; Clara Meister; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

A Cross-Linguistic Pressure for Uniform Information Density in Word Order. - Thomas Hikaru Clark; Clara Meister; Tiago Pimentel; Michael Hahn 001; Ryan Cotterell; Richard Futrell; Roger Levy (Trans. Assoc. Comput. Linguistics, 2023)

Locally Typical Sampling. - Clara Meister; Tiago Pimentel; Gian Wiher; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

On the Effect of Anticipation on Reading Times. - Tiago Pimentel; Clara Meister; Ethan Gotlieb Wilcox; Roger P. Levy; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

Testing the Predictions of Surprisal Theory in 11 Languages. - Ethan Gotlieb Wilcox; Tiago Pimentel; Clara Meister; Ryan Cotterell; Roger P. Levy (Trans. Assoc. Comput. Linguistics, 2023)

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

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

How to Compute the Probability of a Word. - Tiago Pimentel; Clara Meister (EMNLP, 2024)

The Role of n-gram Smoothing in the Age of Neural Networks. - Luca Malagutti; Andrius Buinovskij; Anej Svete; Clara Meister; Afra Amini; Ryan Cotterell (NAACL-HLT, 2024)

Algorithms for Decoding Probabilistic Language Generators: Beam Search and Locally Typical Sampling. - Clara Meister (2024)

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

Uncertainty-Aware Decoding with Minimum Bayes Risk. - Nico Daheim; Clara Meister; Thomas Möllenhoff; Iryna Gurevych (ICLR, 2025)