Clara Meister

Orcid: 0000-0002-3775-4426

According to our database1, Clara Meister authored at least 42 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The Role of n-gram Smoothing in the Age of Neural Networks.
CoRR, 2024

2023
Locally Typical Sampling.
Trans. Assoc. Comput. Linguistics, 2023

Formal Aspects of Language Modeling.
CoRR, 2023

Testing the Predictions of Surprisal Theory in 11 Languages.
CoRR, 2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order.
CoRR, 2023

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generating Text from Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

A Formal Perspective on Byte-Pair Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tokenization and the Noiseless Channel.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Natural Bias for Language Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On the Efficacy of Sampling Adapters.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Measure-Theoretic Characterization of Tight Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
On Decoding Strategies for Neural Text Generators.
Trans. Assoc. Comput. Linguistics, 2022

On the Effect of Anticipation on Reading Times.
CoRR, 2022

Cluster-based Evaluation of Automatically Generated Text.
CoRR, 2022

Naturalistic Causal Probing for Morpho-Syntax.
CoRR, 2022

On the probability-quality paradox in language generation.
CoRR, 2022

Typical Decoding for Natural Language Generation.
CoRR, 2022

Mutual Information Alleviates Hallucinations in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

High probability or low information? The probability-quality paradox in language generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Analyzing Wrap-Up Effects through an Information-Theoretic Lens.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Estimating the Entropy of Linguistic Distributions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Conditional Poisson Stochastic Beam Search.
CoRR, 2021

Testing Machine Translation via Referential Transparency.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

On Homophony and Rényi Entropy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A surprisal-duration trade-off across and within the world's languages.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Plug-and-Play Method for Controlled Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Conditional Poisson Stochastic Beams.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Searching for Search Errors in Neural Morphological Inflection.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

A Cognitive Regularizer for Language Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Is Sparse Attention more Interpretable?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Determinantal Beam Search.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Language Model Evaluation Beyond Perplexity.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Best-First Beam Search.
Trans. Assoc. Comput. Linguistics, 2020

Machine translation testing via pathological invariance.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Structure-invariant testing for machine translation.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

If beam search is the answer, what was the question?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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