Clara Meister

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 73

Top Topics

Automatically Generated

Cumulative Residual Entropy

Production Planning And Scheduling

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell
The Role of n-gram Smoothing in the Age of Neural Networks. CoRR (2024)
Luca Malagutti, Andrius Buinovskij, Anej Svete, Clara Meister, Afra Amini, Ryan Cotterell
The Role of n-gram Smoothing in the Age of Neural Networks. NAACL-HLT (2024)
Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
Causal Estimation of Memorisation Profiles. CoRR (2024)
Tiago Pimentel, Clara Meister
How to Compute the Probability of a Word. CoRR (2024)
Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy
A Cross-Linguistic Pressure for Uniform Information Density in Word Order. Trans. Assoc. Comput. Linguistics 11 (2023)
Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel
Generating Text from Language Models. ACL (tutorial) (2023)
Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy
Testing the Predictions of Surprisal Theory in 11 Languages. Trans. Assoc. Comput. Linguistics 11 (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
Tokenization and the Noiseless Channel. ACL (1) (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
Tokenization and the Noiseless Channel. CoRR (2023)
Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell
On the Efficacy of Sampling Adapters. ACL (1) (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
A Formal Perspective on Byte-Pair Encoding. CoRR (2023)
Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro
A Natural Bias for Language Generation Models. ACL (2) (2023)
Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell
Locally Typical Sampling. Trans. Assoc. Comput. Linguistics 11 (2023)
Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
A Measure-Theoretic Characterization of Tight Language Models. ACL (1) (2023)
Tiago Pimentel, Clara Meister, Ryan Cotterell
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. ICLR (2023)
Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Gotlieb Wilcox, Ryan Cotterell
On the Efficacy of Sampling Adapters. CoRR (2023)
Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger P. Levy, Ryan Cotterell
On the Effect of Anticipation on Reading Times. Trans. Assoc. Comput. Linguistics 11 (2023)
Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) (2023)
Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell
Naturalistic Causal Probing for Morpho-Syntax. Trans. Assoc. Comput. Linguistics 11 (2023)
Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. EMNLP (2023)
Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, Michael Hahn, Ryan Cotterell, Richard Futrell, Roger Levy
A Cross-Linguistic Pressure for Uniform Information Density in Word Order. CoRR (2023)
Ryan Cotterell, Anej Svete, Clara Meister, Tianyu Liu, Li Du
Formal Aspects of Language Modeling. CoRR (2023)
Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell
Revisiting the Optimality of Word Lengths. EMNLP (2023)
Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy
Testing the Predictions of Surprisal Theory in 11 Languages. CoRR (2023)
Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Kyle Mahowald, Ryan Cotterell
Revisiting the Optimality of Word Lengths. CoRR (2023)
Gian Wiher, Clara Meister, Ryan Cotterell
On Decoding Strategies for Neural Text Generators. CoRR (2022)
Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell
High probability or low information? The probability-quality paradox in language generation. ACL (2) (2022)
Tiago Pimentel, Clara Meister, Ryan Cotterell
Cluster-based Evaluation of Automatically Generated Text. CoRR (2022)
Aryaman Arora, Clara Meister, Ryan Cotterell
Estimating the Entropy of Linguistic Distributions. CoRR (2022)
Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro
A Natural Bias for Language Generation Models. CoRR (2022)
Liam van der Poel, Ryan Cotterell, Clara Meister
Mutual Information Alleviates Hallucinations in Abstractive Summarization. EMNLP (2022)
Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell
Typical Decoding for Natural Language Generation. CoRR (2022)
Liam van der Poel, Ryan Cotterell, Clara Meister
Mutual Information Alleviates Hallucinations in Abstractive Summarization. CoRR (2022)
Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell
On the probability-quality paradox in language generation. CoRR (2022)
Clara Meister, Gian Wiher, Ryan Cotterell
On Decoding Strategies for Neural Text Generators. Trans. Assoc. Comput. Linguistics 10 (2022)
Aryaman Arora, Clara Meister, Ryan Cotterell
Estimating the Entropy of Linguistic Distributions. ACL (2) (2022)
Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell
Naturalistic Causal Probing for Morpho-Syntax. CoRR (2022)
Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy
Analyzing Wrap-Up Effects through an Information-Theoretic Lens. CoRR (2022)
Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy
Analyzing Wrap-Up Effects through an Information-Theoretic Lens. ACL (2) (2022)
Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell
A Measure-Theoretic Characterization of Tight Language Models. CoRR (2022)
Tiago Pimentel, Clara Meister, Ethan Gotlieb Wilcox, Roger Levy, Ryan Cotterell
On the Effect of Anticipation on Reading Times. CoRR (2022)
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
Conditional Poisson Stochastic Beams. EMNLP (1) (2021)
Clara Meister, Ryan Cotterell
Language Model Evaluation Beyond Perplexity. ACL/IJCNLP (1) (2021)
Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer
A Plug-and-Play Method for Controlled Text Generation. EMNLP (Findings) (2021)
Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell
On Homophony and Rényi Entropy. CoRR (2021)
Martina Forster, Clara Meister, Ryan Cotterell
Searching for Search Errors in Neural Morphological Inflection. CoRR (2021)
Clara Meister, Martina Forster, Ryan Cotterell
Determinantal Beam Search. CoRR (2021)
Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy
Revisiting the Uniform Information Density Hypothesis. EMNLP (1) (2021)
Clara Meister, Martina Forster, Ryan Cotterell
Determinantal Beam Search. ACL/IJCNLP (1) (2021)
Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell
A surprisal-duration trade-off across and within the world's languages. CoRR (2021)
Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell
On Homophony and Rényi Entropy. EMNLP (1) (2021)
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
Is Sparse Attention more Interpretable? ACL/IJCNLP (2) (2021)
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
Is Sparse Attention more Interpretable? CoRR (2021)
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
Conditional Poisson Stochastic Beam Search. CoRR (2021)
Jason Wei, Clara Meister, Ryan Cotterell
A Cognitive Regularizer for Language Modeling. CoRR (2021)
Jason Wei, Clara Meister, Ryan Cotterell
A Cognitive Regularizer for Language Modeling. ACL/IJCNLP (1) (2021)
Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer
A Plug-and-Play Method for Controlled Text Generation. CoRR (2021)
Pinjia He, Clara Meister, Zhendong Su
Testing Machine Translation via Referential Transparency. ICSE (2021)
Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell, Roger Levy
Revisiting the Uniform Information Density Hypothesis. CoRR (2021)
Martina Forster, Clara Meister, Ryan Cotterell
Searching for Search Errors in Neural Morphological Inflection. EACL (2021)
Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell
A surprisal-duration trade-off across and within the world's languages. EMNLP (1) (2021)
Clara Meister, Ryan Cotterell
Language Model Evaluation Beyond Perplexity. CoRR (2021)
Martina Forster, Clara Meister
SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team. SIGMORPHON (2020)
Pinjia He, Clara Meister, Zhendong Su
Testing Machine Translation via Referential Transparency. CoRR (2020)
Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su
Machine translation testing via pathological invariance. ESEC/SIGSOFT FSE (2020)
Clara Meister, Elizabeth Salesky, Ryan Cotterell
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. ACL (2020)
Pinjia He, Clara Meister, Zhendong Su
Structure-invariant testing for machine translation. ICSE (2020)
Clara Meister, Tim Vieira, Ryan Cotterell
If beam search is the answer, what was the question? CoRR (2020)
Clara Meister, Ryan Cotterell, Tim Vieira
If beam search is the answer, what was the question? EMNLP (1) (2020)
Clara Meister, Elizabeth Salesky, Ryan Cotterell
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. CoRR (2020)
Clara Meister, Ryan Cotterell, Tim Vieira
Best-First Beam Search. Trans. Assoc. Comput. Linguistics 8 (2020)
Clara Meister, Tim Vieira, Ryan Cotterell
Best-First Beam Search. CoRR (2020)
Pinjia He, Clara Meister, Zhendong Su
Structure-Invariant Testing for Machine Translation. CoRR (2019)