← Authors

Clara Meister

36 papers · 2020–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (57) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🤝 Dynamic Duo (28) 🌱 Topic Pioneer 🔬 Deep Specialist (10) 💎 Century Club (35) ❓ The Questioner (3) 📈 Trend Setter ⚡ Prolific Year (8) 🔥 Unstoppable (6) 🗃️ Keyword Collector (143)

Conferences

ACL (17) EMNLP (12) IJCNLP (4) EACL (1) ICLR (1) NAACL (1)

Top co-authors

Ryan Cotterell (29) Tiago Pimentel (15) Martina Forster (4) Afra Amini (4) Tim Vieira (4) Ethan Wilcox (3) Luca Malagutti (3) Li Du (3) Stefan Lazov (2) Simone Teufel (2)

Research topics

Linguistics (5) Statistics (1)

Keywords

language model (8) information theory (7) text generation (5) probability distribution (5) beam search (5) reading time (4) language modeling (3) information density (3) language generation (3) statistical learning (2) determinantal point process (2) neural machine translation (2) decoding strategy (2) sequence generation (2) uniform information density (2) rényi entropy (2) text classification (2) causal inference (2) sampling strategy (2) label smoothing (2)

Papers

Uncertainty-Aware Decoding with Minimum Bayes Risk ICLR 2025
Causal Estimation of Tokenisation Bias ACL 2025
The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024
Towards a Similarity-adjusted Surprisal Theory EMNLP 2024
How to Compute the Probability of a Word EMNLP 2024
Causal Estimation of Memorisation Profiles ACL 2024
A Measure-Theoretic Characterization of Tight Language Models ACL 2023
Revisiting the Optimality of Word Lengths EMNLP 2023
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages EMNLP 2023
Generating Text from Language Models ACL 2023
A Formal Perspective on Byte-Pair Encoding ACL 2023
On the Efficacy of Sampling Adapters ACL 2023
Tokenization and the Noiseless Channel ACL 2023
A Natural Bias for Language Generation Models ACL 2023
Analyzing Wrap-Up Effects through an Information-Theoretic Lens ACL 2022
On the probability–quality paradox in language generation ACL 2022
Estimating the Entropy of Linguistic Distributions ACL 2022
Mutual Information Alleviates Hallucinations in Abstractive Summarization EMNLP 2022
Determinantal Beam Search IJCNLP 2021
Conditional Poisson Stochastic Beam Search EMNLP 2021
Language Model Evaluation Beyond Perplexity ACL 2021
Determinantal Beam Search ACL 2021
Is Sparse Attention more Interpretable? ACL 2021
Searching for Search Errors in Neural Morphological Inflection EACL 2021
A Cognitive Regularizer for Language Modeling ACL 2021
Conditional Poisson Stochastic Beams EMNLP 2021
A surprisal–duration trade-off across and within the world’s languages EMNLP 2021
Revisiting the Uniform Information Density Hypothesis EMNLP 2021
On Homophony and Rényi Entropy EMNLP 2021
A Plug-and-Play Method for Controlled Text Generation EMNLP 2021
A Cognitive Regularizer for Language Modeling IJCNLP 2021
Language Model Evaluation Beyond Perplexity IJCNLP 2021
Is Sparse Attention more Interpretable? IJCNLP 2021
If beam search is the answer, what was the question? EMNLP 2020
SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team ACL 2020
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020