Stochastic Contextual Edit Distance and Probabilistic FSTs. - Ryan Cotterell; Nanyun Peng 001; Jason Eisner (ACL (2), 2014)

Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. - Gaurav Kumar; Yuan Cao 007; Ryan Cotterell; Chris Callison-Burch; Daniel Povey; Sanjeev Khudanpur (IWSLT, 2014)

A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. - Ryan Cotterell; Chris Callison-Burch (LREC, 2014)

Labeled Morphological Segmentation with Semi-Markov Models. - Ryan Cotterell; Thomas Müller 009; Alexander M. Fraser; Hinrich Schütze (CoNLL, 2015)

Joint Lemmatization and Morphological Tagging with Lemming. - Thomas Müller 009; Ryan Cotterell; Alexander M. Fraser; Hinrich Schütze (EMNLP, 2015)

Dual Decomposition Inference for Graphical Models over Strings. - Nanyun Peng 001; Ryan Cotterell; Jason Eisner (EMNLP, 2015)

Penalized Expectation Propagation for Graphical Models over Strings. - Ryan Cotterell; Jason Eisner (HLT-NAACL, 2015)

Morphological Word-Embeddings. - Ryan Cotterell; Hinrich Schütze (HLT-NAACL, 2015)

Modeling Word Forms Using Latent Underlying Morphs and Phonology. - Ryan Cotterell; Nanyun Peng 001; Jason Eisner (Trans. Assoc. Comput. Linguistics, 2015)

Morphological Smoothing and Extrapolation of Word Embeddings. - Ryan Cotterell; Hinrich Schütze; Jason Eisner (ACL (1), 2016)

Morphological Segmentation Inside-Out. - Ryan Cotterell; Arun Kumar 011; Hinrich Schütze (EMNLP, 2016)

Neural Morphological Analysis: Encoding-Decoding Canonical Segments. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (EMNLP, 2016)

Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity. - Tim Vieira; Ryan Cotterell; Jason Eisner (EMNLP, 2016)

A Joint Model of Orthography and Morphological Segmentation. - Ryan Cotterell; Tim Vieira; Hinrich Schütze (HLT-NAACL, 2016)

Weighting Finite-State Transductions With Neural Context. - Pushpendre Rastogi; Ryan Cotterell; Jason Eisner (HLT-NAACL, 2016)

The SIGMORPHON 2016 Shared Task - Morphological Reinflection. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; David Yarowsky; Jason Eisner; Mans Hulden (SIGMORPHON, 2016)

Analysis of Morphology in Topic Modeling. - Chandler May; Ryan Cotterell; Benjamin Van Durme (CoRR, 2016)

Probabilistic Typology: Deep Generative Models of Vowel Inventories. - Ryan Cotterell; Jason Eisner (ACL (1), 2017)

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (ACL (1), 2017)

CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Patrick Xia 002; Manaal Faruqui; Sandra Kübler; David Yarowsky; Jason Eisner; Mans Hulden (CoNLL Shared Task (1), 2017)

Context-Aware Prediction of Derivational Word-forms. - Ekaterina Vylomova; Ryan Cotterell; Timothy Baldwin; Trevor Cohn (EACL (2), 2017)

Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion. - Ryan Cotterell; John Sylak-Glassman; Christo Kirov (EACL (2), 2017)

A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax. - Christo Kirov; John Sylak-Glassman; Rebecca Knowles; Ryan Cotterell; Matt Post (EACL (2), 2017)

Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. - Ryan Cotterell; Adam Poliak; Benjamin Van Durme; Jason Eisner (EACL (2), 2017)

Morphological Analysis of the Dravidian Language Family. - Arun Kumar 011; Ryan Cotterell; Lluís Padró 001; Antoni Oliver 001 (EACL (2), 2017)

Neural Multi-Source Morphological Reinflection. - Katharina Kann; Ryan Cotterell; Hinrich Schütze (EACL (1), 2017)

Cross-lingual Character-Level Neural Morphological Tagging. - Ryan Cotterell; Georg Heigold (EMNLP, 2017)

Paradigm Completion for Derivational Morphology. - Ryan Cotterell; Ekaterina Vylomova; Huda Khayrallah; Christo Kirov; David Yarowsky (EMNLP, 2017)

Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. - Ryan Cotterell; Kevin Duh (IJCNLP(2), 2017)

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. - Francis Ferraro; Adam Poliak; Ryan Cotterell; Benjamin Van Durme (*SEM, 2017)

A Structured Variational Autoencoder for Contextual Morphological Inflection. - Lawrence Wolf-Sonkin; Jason Naradowsky; S. J. Mielke; Ryan Cotterell (ACL (1), 2018)

Marrying Universal Dependencies and Universal Morphology. - Arya D. McCarthy; Miikka Silfverberg; Ryan Cotterell; Mans Hulden; David Yarowsky (UDW@EMNLP, 2018)

The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Arya D. McCarthy; Katharina Kann; S. J. Mielke; Garrett Nicolai; Miikka Silfverberg; David Yarowsky; Jason Eisner; et al. (CoNLL Shared Task (1), 2018)

Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. - Yova Kementchedjhieva; Sebastian Ruder; Ryan Cotterell; Anders Søgaard (CoNLL, 2018)

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. - Sebastian Ruder; Ryan Cotterell; Yova Kementchedjhieva; Anders Søgaard (EMNLP, 2018)

Hard Non-Monotonic Attention for Character-Level Transduction. - Shijie Wu; Pamela Shapiro; Ryan Cotterell (EMNLP, 2018)

UniMorph 2.0: Universal Morphology. - Christo Kirov; Ryan Cotterell; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Patrick Xia 002; Manaal Faruqui; S. J. Mielke; Arya McCarthy; Sandra Kübler; David Yarowsky; Jason Eisner; et al. (LREC, 2018)

A Deep Generative Model of Vowel Formant Typology. - Ryan Cotterell; Jason Eisner (NAACL-HLT, 2018)

Unsupervised Disambiguation of Syncretism in Inflected Lexicons. - Ryan Cotterell; Christo Kirov; S. J. Mielke; Jason Eisner (NAACL-HLT (2), 2018)

Are All Languages Equally Hard to Language-Model? - Ryan Cotterell; S. J. Mielke; Jason Eisner; Brian Roark (NAACL-HLT (2), 2018)

On the Diachronic Stability of Irregularity in Inflectional Morphology. - Ryan Cotterell; Christo Kirov; Mans Hulden; Jason Eisner (CoRR, 2018)

Explaining and Generalizing Back-Translation through Wake-Sleep. - Ryan Cotterell; Julia Kreutzer (CoRR, 2018)

Joint Semantic Synthesis and Morphological Analysis of the Derived Word. - Ryan Cotterell; Hinrich Schütze (Trans. Assoc. Comput. Linguistics, 2018)

Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. - Christo Kirov; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2018)

Rethinking Phonotactic Complexity. - Tiago Pimentel; Brian Roark; Ryan Cotterell (WNLP@ACL, 2019)

Uncovering Probabilistic Implications in Typological Knowledge Bases. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (ACL (1), 2019)

On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study. - Damián E. Blasi; Ryan Cotterell; Lawrence Wolf-Sonkin; Sabine Stoll; Balthasar Bickel; Marco Baroni (ACL (1), 2019)

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. - Alexander Miserlis Hoyle; Lawrence Wolf-Sonkin; Hanna M. Wallach; Isabelle Augenstein; Ryan Cotterell (ACL (1), 2019)

What Kind of Language Is Hard to Language-Model? - S. J. Mielke; Ryan Cotterell; Kyle Gorman; Brian Roark; Jason Eisner (ACL (1), 2019)

Meaning to Form: Measuring Systematicity as Information. - Tiago Pimentel; Arya D. McCarthy; Damián E. Blasi; Brian Roark; Ryan Cotterell (ACL (1), 2019)

Exact Hard Monotonic Attention for Character-Level Transduction. - Shijie Wu; Ryan Cotterell (ACL (1), 2019)

Morphological Irregularity Correlates with Frequency. - Shijie Wu; Ryan Cotterell; Timothy J. O'Donnell (ACL (1), 2019)

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology. - Ran Zmigrod; S. J. Mielke; Hanna M. Wallach; Ryan Cotterell (ACL (1), 2019)

Weird Inflects but OK: Making Sense of Morphological Generation Errors. - Kyle Gorman; Arya D. McCarthy; Ryan Cotterell; Ekaterina Vylomova; Miikka Silfverberg; Magdalena Markowska (CoNLL, 2019)

Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. - Paula Czarnowska; Sebastian Ruder; Edouard Grave; Ryan Cotterell; Ann A. Copestake (EMNLP/IJCNLP (1), 2019)

It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. - Rowan Hall Maudslay; Hila Gonen; Ryan Cotterell; Simone Teufel (EMNLP/IJCNLP (1), 2019)

Towards Zero-shot Language Modeling. - Edoardo Maria Ponti; Ivan Vulic; Ryan Cotterell; Roi Reichart; Anna Korhonen (EMNLP/IJCNLP (1), 2019)

Quantifying the Semantic Core of Gender Systems. - Adina Williams; Damián E. Blasi; Lawrence Wolf-Sonkin; Hanna M. Wallach; Ryan Cotterell (EMNLP/IJCNLP (1), 2019)

Examining Gender Bias in Languages with Grammatical Gender. - Pei Zhou; Weijia Shi; Jieyu Zhao 001; Kuan-Hao Huang; Muhao Chen 001; Ryan Cotterell; Kai-Wei Chang (EMNLP/IJCNLP (1), 2019)

A Probabilistic Generative Model of Linguistic Typology. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT (1), 2019)

Combining Sentiment Lexica with a Multi-View Variational Autoencoder. - Alexander Miserlis Hoyle; Lawrence Wolf-Sonkin; Hanna M. Wallach; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT (1), 2019)

On the Idiosyncrasies of the Mandarin Chinese Classifier System. - Shijia Liu; Hongyuan Mei; Adina Williams; Ryan Cotterell (NAACL-HLT (1), 2019)

A Simple Joint Model for Improved Contextual Neural Lemmatization. - Chaitanya Malaviya; Shijie Wu; Ryan Cotterell (NAACL-HLT (1), 2019)

Contextualization of Morphological Inflection. - Ekaterina Vylomova; Ryan Cotterell; Trevor Cohn; Timothy Baldwin; Jason Eisner (NAACL-HLT (1), 2019)

Gender Bias in Contextualized Word Embeddings. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Ryan Cotterell; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (1), 2019)

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. - Arya D. McCarthy; Ekaterina Vylomova; Shijie Wu; Chaitanya Malaviya; Lawrence Wolf-Sonkin; Garrett Nicolai; Christo Kirov; Miikka Silfverberg; S. J. Mielke; Jeffrey Heinz; Ryan Cotterell; Mans Hulden (CoRR, 2019)

On the Complexity and Typology of Inflectional Morphological Systems. - Ryan Cotterell; Christo Kirov; Mans Hulden; Jason Eisner (Trans. Assoc. Comput. Linguistics, 2019)

Metaphor Detection using Context and Concreteness. - Rowan Hall Maudslay; Tiago Pimentel; Ryan Cotterell; Simone Teufel (Fig-Lang@ACL, 2020)

It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. - Emanuele Bugliarello; Sabrina J. Mielke; Antonios Anastasopoulos; Ryan Cotterell; Naoaki Okazaki (ACL, 2020)

The Paradigm Discovery Problem. - Alexander Erdmann; Micha Elsner; Shijie Wu; Ryan Cotterell; Nizar Habash (ACL, 2020)

A Tale of a Probe and a Parser. - Rowan Hall Maudslay; Josef Valvoda; Tiago Pimentel; Adina Williams; Ryan Cotterell (ACL, 2020)

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

Information-Theoretic Probing for Linguistic Structure. - Tiago Pimentel; Josef Valvoda; Rowan Hall Maudslay; Ran Zmigrod; Adina Williams; Ryan Cotterell (ACL, 2020)

A Corpus for Large-Scale Phonetic Typology. - Elizabeth Salesky; Eleanor Chodroff; Tiago Pimentel; Matthew Wiesner; Ryan Cotterell; Alan W. Black; Jason Eisner (ACL, 2020)

Predicting Declension Class from Form and Meaning. - Adina Williams; Tiago Pimentel; Hagen Blix; Arya D. McCarthy; Eleanor Chodroff; Ryan Cotterell (ACL, 2020)

Morphologically Aware Word-Level Translation. - Paula Czarnowska; Sebastian Ruder; Ryan Cotterell; Ann A. Copestake (COLING, 2020)

Intrinsic Probing through Dimension Selection. - Lucas Torroba Hennigen; Adina Williams; Ryan Cotterell (EMNLP (1), 2020)

Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model. - Jun Yen Leung; Guy Emerson; Ryan Cotterell (EMNLP (1), 2020)

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. - Arya D. McCarthy; Adina Williams; Shijia Liu; David Yarowsky; Ryan Cotterell (EMNLP (1), 2020)

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

Speakers Fill Lexical Semantic Gaps with Context. - Tiago Pimentel; Rowan Hall Maudslay; Damián E. Blasi; Ryan Cotterell (EMNLP (1), 2020)

Pareto Probing: Trading Off Accuracy for Complexity. - Tiago Pimentel; Naomi Saphra; Adina Williams; Ryan Cotterell (EMNLP (1), 2020)

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. - Francisco Vargas 001; Ryan Cotterell (EMNLP (1), 2020)

Please Mind the Root: Decoding Arborescences for Dependency Parsing. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (EMNLP (1), 2020)

UniMorph 3.0: Universal Morphology. - Arya D. McCarthy; Christo Kirov; Matteo Grella; Amrit Nidhi; Patrick Xia 002; Kyle Gorman; Ekaterina Vylomova; Sabrina J. Mielke; Garrett Nicolai; Miikka Silfverberg; Timofey Arkhangelskiy; Nataly Krizhanovsky; et al. (LREC, 2020)

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Ekaterina Vylomova; Jennifer C. White; Elizabeth Salesky; Sabrina J. Mielke; Shijie Wu; Edoardo Maria Ponti; Rowan Hall Maudslay; Ran Zmigrod; Josef Valvoda; Svetlana Toldova; Francis M. Tyers; Elena Klyachko; et al. (SIGMORPHON, 2020)

SIGTYP 2020 Shared Task: Prediction of Typological Features. - Johannes Bjerva; Elizabeth Salesky; Sabrina J. Mielke; Aditi Chaudhary; Giuseppe G. A. Celano; Edoardo Maria Ponti; Ekaterina Vylomova; Ryan Cotterell; Isabelle Augenstein (CoRR, 2020)

Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs. - Emanuele Bugliarello; Ryan Cotterell; Naoaki Okazaki; Desmond Elliott (CoRR, 2020)

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

Phonotactic Complexity and its Trade-offs. - Tiago Pimentel; Brian Roark; Ryan Cotterell (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)

Modeling the Unigram Distribution. - Irene Nikkarinen; Tiago Pimentel; Damián E. Blasi; Ryan Cotterell (ACL/IJCNLP (Findings), 2021)

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

Examining the Inductive Bias of Neural Language Models with Artificial Languages. - Jennifer C. White; Ryan Cotterell (ACL/IJCNLP (1), 2021)

On Finding the K-best Non-projective Dependency Trees. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (ACL/IJCNLP (1), 2021)

Higher-order Derivatives of Weighted Finite-state Machines. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (ACL/IJCNLP (2), 2021)

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

Disambiguatory Signals are Stronger in Word-initial Positions. - Tiago Pimentel; Ryan Cotterell; Brian Roark (EACL, 2021)

Applying the Transformer to Character-level Transduction. - Shijie Wu; Ryan Cotterell; Mans Hulden (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 Bayesian Framework for Information-Theoretic Probing. - Tiago Pimentel; Ryan Cotterell (EMNLP (1), 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)

Classifying Dyads for Militarized Conflict Analysis. - Niklas Stoehr; Lucas Torroba Hennigen; Samin Ahbab; Robert West 001; Ryan Cotterell (EMNLP (1), 2021)

Searching for More Efficient Dynamic Programs. - Tim Vieira; Ryan Cotterell; Jason Eisner (EMNLP (Findings), 2021)

Efficient Sampling of Dependency Structure. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (EMNLP (1), 2021)

Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing. - Rowan Hall Maudslay; Ryan Cotterell (NAACL-HLT, 2021)

How (Non-)Optimal is the Lexicon? - Tiago Pimentel; Irene Nikkarinen; Kyle Mahowald; Ryan Cotterell; Damián E. Blasi (NAACL-HLT, 2021)

Finding Concept-specific Biases in Form-Meaning Associations. - Tiago Pimentel; Brian Roark; Søren Wichmann; Ryan Cotterell; Damián E. Blasi (NAACL-HLT, 2021)

What About the Precedent: An Information-Theoretic Analysis of Common Law. - Josef Valvoda; Tiago Pimentel; Niklas Stoehr; Ryan Cotterell; Simone Teufel (NAACL-HLT, 2021)

A Non-Linear Structural Probe. - Jennifer C. White; Tiago Pimentel; Naomi Saphra; Ryan Cotterell (NAACL-HLT, 2021)

Differentiable Generative Phonology. - Shijie Wu; Edoardo Maria Ponti; Ryan Cotterell (CoRR, 2021)

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. - Karolina Stanczak; Sagnik Ray Choudhury; Tiago Pimentel; Ryan Cotterell; Isabelle Augenstein (CoRR, 2021)

SIGTYP 2021 Shared Task: Robust Spoken Language Identification. - Elizabeth Salesky; Badr M. Abdullah; Sabrina J. Mielke; Elena Klyachko; Oleg Serikov; Edoardo Maria Ponti; Ritesh Kumar 002; Ryan Cotterell; Ekaterina Vylomova (CoRR, 2021)

Efficient Sampling of Dependency Structures. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (CoRR, 2021)

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

Probing as Quantifying the Inductive Bias of Pre-trained Representations. - Alexander Immer; Lucas Torroba Hennigen; Vincent Fortuin; Ryan Cotterell (CoRR, 2021)

A Word on Machine Ethics: A Response to Jiang et al. (2021). - Zeerak Talat; Hagen Blix; Josef Valvoda; Maya Indira Ganesh; Ryan Cotterell; Adina Williams (CoRR, 2021)

Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs. - Emanuele Bugliarello; Ryan Cotterell; Naoaki Okazaki; Desmond Elliott (Trans. Assoc. Comput. Linguistics, 2021)

Differentiable Subset Pruning of Transformer Heads. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (Trans. Assoc. Comput. Linguistics, 2021)

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. - Edoardo Maria Ponti; Ivan Vulic; Ryan Cotterell; Marinela Parovic; Roi Reichart; Anna Korhonen (Trans. Assoc. Comput. Linguistics, 2021)

On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. - Adina Williams; Lawrence Wolf-Sonkin; Damián E. Blasi; Hanna M. Wallach; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2021)

Efficient Computation of Expectations under Spanning Tree Distributions. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2021)

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

Probing as Quantifying Inductive Bias. - Alexander Immer; Lucas Torroba Hennigen; Vincent Fortuin; Ryan Cotterell (ACL (1), 2022)

Probing for the Usage of Grammatical Number. - Karim Lasri; Tiago Pimentel; Alessandro Lenci; Thierry Poibeau; Ryan Cotterell (ACL (1), 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)

Benchmarking Compositionality with Formal Languages. - Josef Valvoda; Naomi Saphra; Jonathan Rawski; Adina Williams; Ryan Cotterell (COLING, 2022)

Equivariant Transduction through Invariant Alignment. - Jennifer C. White; Ryan Cotterell (COLING, 2022)

On Parsing as Tagging. - Afra Amini; Ryan Cotterell (EMNLP, 2022)

Algorithms for Weighted Pushdown Automata. - Alexandra Butoi; Brian DuSell; Tim Vieira; Ryan Cotterell; David Chiang 001 (EMNLP, 2022)

Autoregressive Structured Prediction with Language Models. - Tianyu Liu 004; Yuchen Eleanor Jiang; Nicholas Monath; Ryan Cotterell; Mrinmaya Sachan (EMNLP (Findings), 2022)

Attentional Probe: Estimating a Module's Functional Potential. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (EMNLP, 2022)

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

Adversarial Concept Erasure in Kernel Space. - Shauli Ravfogel; Francisco Vargas 001; Yoav Goldberg; Ryan Cotterell (EMNLP, 2022)

Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. - Anej Svete; Benjamin Dayan; Ryan Cotterell; Tim Vieira; Jason Eisner (EMNLP, 2022)

Linear Adversarial Concept Erasure. - Shauli Ravfogel; Michael Twiton; Yoav Goldberg; Ryan Cotterell (ICML, 2022)

UniMorph 4.0: Universal Morphology. - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (LREC, 2022)

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. - Yuchen Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Jian Yang 030; Haoyang Huang; Rico Sennrich; Ryan Cotterell; Mrinmaya Sachan; Ming Zhou 001 (NAACL-HLT, 2022)

Probing via Prompting. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

A Structured Span Selector. - Tianyu Liu 004; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. - Karolina Stanczak; Edoardo M. Ponti; Lucas Torroba Hennigen; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT, 2022)

On the Machine Learning of Ethical Judgments from Natural Language. - Zeerak Talat; Hagen Blix; Josef Valvoda; Maya Indira Ganesh; Ryan Cotterell; Adina Williams (NAACL-HLT, 2022)

Exact Paired-Permutation Testing for Structured Test Statistics. - Ran Zmigrod; Tim Vieira; Ryan Cotterell (NAACL-HLT, 2022)

On Interpretable Reranking-Based Dependency Parsing Systems. - Florian Schottmann; Vincent Fortuin; Edoardo M. Ponti; Ryan Cotterell (SwissText, 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)

The SIGMORPHON 2022 Shared Task on Morpheme Segmentation. - Khuyagbaatar Batsuren; Gábor Bella; Aryaman Arora; Viktor Martinovic; Kyle Gorman; Zdenek Zabokrtský; Amarsanaa Ganbold; Sárka Dohnalová; Magda Sevcíková; Katerina Pelegrinová; Fausto Giunchiglia; Ryan Cotterell; et al. (CoRR, 2022)

Learning Transductions to Test Systematic Compositionality. - Josef Valvoda; Naomi Saphra; Jonathan Rawski; Ryan Cotterell; Adina Williams (CoRR, 2022)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

A Bilingual Parallel Corpus with Discourse Annotations. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2022)

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. - Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2022)

Autoregressive Structured Prediction with Language Models. - Tianyu Liu 004; Yuchen Jiang; Nicholas Monath; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2022)

The Architectural Bottleneck Principle. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (CoRR, 2022)

Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition. - Jennifer C. White; Ryan Cotterell (CoRR, 2022)

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (CoRR, 2022)

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

A Latent-Variable Model for Intrinsic Probing. - Karolina Stanczak; Lucas Torroba Hennigen; Adina Williams; Ryan Cotterell; Isabelle Augenstein (AAAI, 2023)

Hexatagging: Projective Dependency Parsing as Tagging. - Afra Amini; Tianyu Liu 004; Ryan Cotterell (ACL (2), 2023)

Convergence and Diversity in the Control Hierarchy. - Alexandra Butoi; Ryan Cotterell; David Chiang 001 (ACL (1), 2023)

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

Generalizing Backpropagation for Gradient-Based Interpretability. - Kevin Du; Lucas Torroba Hennigen; Niklas Stoehr; Alex Warstadt; Ryan Cotterell (ACL (1), 2023)

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; 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 Fast Algorithm for Computing Prefix Probabilities. - Franz Nowak; Ryan Cotterell (ACL (2), 2023)

Efficient Semiring-Weighted Earley Parsing. - Andreas Opedal; Ran Zmigrod; Tim Vieira; Ryan Cotterell; Jason Eisner (ACL (1), 2023)

Linear Guardedness and its Implications. - Shauli Ravfogel; Yoav Goldberg; Ryan Cotterell (ACL (1), 2023)

An Ordinal Latent Variable Model of Conflict Intensity. - Niklas Stoehr; Lucas Torroba Hennigen; Josef Valvoda; Robert West 001; Ryan Cotterell; Aaron Schein (ACL (1), 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)

The Ordered Matrix Dirichlet for State-Space Models. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (AISTATS, 2023)

On the Intersection of Context-Free and Regular Languages. - Clemente Pasti; Andreas Opedal; Tiago Pimentel; Tim Vieira; Jason Eisner; Ryan Cotterell (EACL, 2023)

Sentiment as an Ordinal Latent Variable. - Niklas Stoehr; Ryan Cotterell; Aaron Schein (EACL, 2023)

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. - Tianyu Liu 004; Afra Amini; Mrinmaya Sachan; Ryan Cotterell (EMNLP, 2023)

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. - Alexandra Butoi; Tim Vieira; Ryan Cotterell; David Chiang 001 (EMNLP, 2023)

On the Representational Capacity of Recurrent Neural Language Models. - Franz Nowak; Anej Svete; Li Du; Ryan Cotterell (EMNLP, 2023)

An Exploration of Left-Corner Transformations. - Andreas Opedal; Eleftheria Tsipidi; Tiago Pimentel; Ryan Cotterell; Tim Vieira (EMNLP, 2023)

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

Recurrent Neural Language Models as Probabilistic Finite-state Automata. - Anej Svete; 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)

Quantifying the redundancy between prosody and text. - Lukas Wolf; Tiago Pimentel; Evelina Fedorenko; Ryan Cotterell; Alex Warstadt; Ethan Wilcox; Tamar Regev (EMNLP, 2023)

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

Controlled Text Generation with Natural Language Instructions. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ethan Wilcox; Ryan Cotterell; Mrinmaya Sachan (ICML, 2023)

Structured Voronoi Sampling. - Afra Amini; Li Du; Ryan Cotterell (NeurIPS, 2023)

LEACE: Perfect linear concept erasure in closed form. - Nora Belrose; David Schneider-Joseph; Shauli Ravfogel; Ryan Cotterell; Edward Raff; Stella Biderman (NeurIPS, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Sagie Benaim; Hila Chefer; Ryan Cotterell; Lior Wolf; Serge J. Belongie (CoRR, 2023)

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2023)

Efficient Prompting via Dynamic In-Context Learning. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Peng Cui 006; Tiannan Wang; Zhenxin Xiao; Yifan Hou; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. - Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Ryan Cotterell (CoRR, 2023)

Learning the String Partial Order. - Tianyu Liu 004; Afra Amini; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2023)

A Geometric Notion of Causal Probing. - Clément Guerner; Anej Svete; Tianyu Liu 004; Alexander Warstadt; Ryan Cotterell (CoRR, 2023)

An Analysis of On-the-fly Determinization of Finite-state Automata. - Ivan Baburin; Ryan Cotterell (CoRR, 2023)

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

Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. - Karolina Stanczak; Kevin Du; Adina Williams; Isabelle Augenstein; Ryan Cotterell (CoRR, 2023)

Principled Gradient-based Markov Chain Monte Carlo for Text Generation. - Li Du; Afra Amini; Lucas Torroba Hennigen; Xinyan Velocity Yu; Jason Eisner; Holden Lee; Ryan Cotterell (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)

On the Role of Negative Precedent in Legal Outcome Prediction. - Josef Valvoda; Ryan Cotterell; Simone Teufel (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)

Visual Comparison of Language Model Adaptation. - Rita Sevastjanova; Eren Cakmak; Shauli Ravfogel; Ryan Cotterell; Mennatallah El-Assady (IEEE Trans. Vis. Comput. Graph., 2023)

A taxonomy and review of generalization research in NLP. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos E. Christodoulopoulos; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (Nat. Mac. Intell., 2023)

Direct Preference Optimization with an Offset. - Afra Amini; Tim Vieira; Ryan Cotterell (ACL (Findings), 2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (ACL (1), 2024)

When is a Language Process a Language Model? - Li Du; Holden Lee; Jason Eisner; Ryan Cotterell (ACL (Findings), 2024)

Context versus Prior Knowledge in Language Models. - Kevin Du; Vésteinn Snæbjarnarson; Niklas Stoehr; Jennifer C. White; Aaron Schein; Ryan Cotterell (ACL (1), 2024)

What Do Language Models Learn in Context? The Structured Task Hypothesis. - Jiaoda Li; Yifan Hou; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2024)

On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. - Franz Nowak; Anej Svete; Alexandra Butoi; Ryan Cotterell (ACL (1), 2024)

On Efficiently Representing Regular Languages as RNNs. - Anej Svete; Robin Chan; Ryan Cotterell (ACL (Findings), 2024)

Efficiently Computing Susceptibility to Context in Language Models. - Tianyu Liu 004; Kevin Du; Mrinmaya Sachan; Ryan Cotterell (EMNLP (Findings), 2024)

On the Proper Treatment of Tokenization in Psycholinguistics. - Mario Giulianelli; Luca Malagutti; Juan Luis Gastaldi; Brian DuSell; Tim Vieira; Ryan Cotterell (EMNLP, 2024)

Generalized Measures of Anticipation and Responsivity in Online Language Processing. - Mario Giulianelli; Andreas Opedal; Ryan Cotterell (EMNLP (Findings), 2024)

Reverse-Engineering the Reader. - Samuel Kiegeland; Ethan Wilcox; Afra Amini; David Robert Reich; Ryan Cotterell (EMNLP, 2024)

On the Role of Context in Reading Time Prediction. - Andreas Opedal; Eleanor Chodroff; Ryan Cotterell; Ethan Wilcox (EMNLP, 2024)

An L* Algorithm for Deterministic Weighted Regular Languages. - Clemente Pasti; Talu Karagöz; Franz Nowak; Anej Svete; Reda Boumasmoud; Ryan Cotterell (EMNLP, 2024)

Activation Scaling for Steering and Interpreting Language Models. - Niklas Stoehr; Kevin Du; Vésteinn Snæbjarnarson; Robert West 001; Ryan Cotterell; Aaron Schein (EMNLP (Findings), 2024)

Can Transformers Learn n-gram Language Models? - Anej Svete; Nadav Borenstein; Mike Zhou; Isabelle Augenstein; Ryan Cotterell (EMNLP, 2024)

A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. - Naaman Tan; Josef Valvoda; Tianyu Liu 004; Anej Svete; Yanxia Qin; Min-Yen Kan; Ryan Cotterell (EMNLP, 2024)

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. - Eleftheria Tsipidi; Franz Nowak; Ryan Cotterell; Ethan Wilcox; Mario Giulianelli; Alex Warstadt (EMNLP, 2024)

Principled Gradient-Based MCMC for Conditional Sampling of Text. - Li Du; Afra Amini; Lucas Torroba Hennigen; Xinyan Velocity Yu; Holden Lee; Jason Eisner; Ryan Cotterell (ICML, 2024)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? - Andreas Opedal; Alessandro Stolfo; Haruki Shirakami; Ying Jiao; Ryan Cotterell; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan (ICML, 2024)

Representation Surgery: Theory and Practice of Affine Steering. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (ICML, 2024)

NARRATE: Versatile Language Architecture for Optimal Control in Robotics. - Seif Ismail; Antonio Arbues; Ryan Cotterell; René Zurbrügg; Carmen Amo Alonso (IROS, 2024)

A Transformer with Stack Attention. - Jiaoda Li; Jennifer C. White; Mrinmaya Sachan; Ryan Cotterell (NAACL-HLT (Findings), 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)

Transformers Can Represent n-gram Language Models. - Anej Svete; Ryan Cotterell (NAACL-HLT, 2024)

Lower Bounds on the Expressivity of Recurrent Neural Language Models. - Anej Svete; Franz Nowak; Anisha Mohamed Sahabdeen; Ryan Cotterell (NAACL-HLT, 2024)

Towards Explainability in Legal Outcome Prediction Models. - Josef Valvoda; Ryan Cotterell (NAACL-HLT, 2024)

On Affine Homotopy between Language Encoders. - Robin Chan; Reda Boumasmoud; Anej Svete; Yuxin Ren; Qipeng Guo; Zhijing Jin 001; Shauli Ravfogel; Mrinmaya Sachan; Bernhard Schölkopf; Mennatallah El-Assady; Ryan Cotterell (NeurIPS, 2024)

MiMiC: Minimally Modified Counterfactuals in the Representation Space. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (CoRR, 2024)

What Changed? Converting Representational Interventions to Natural Language. - Matan Avitan; Ryan Cotterell; Yoav Goldberg; Shauli Ravfogel (CoRR, 2024)

A Theoretical Result on the Inductive Bias of RNN Language Models. - Anej Svete; Robin Shing Moon Chan; Ryan Cotterell (CoRR, 2024)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; Christoph Lippert; et al. (CoRR, 2024)

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. - Leshem Choshen; Ryan Cotterell; Michael Y. Hu; Tal Linzen; Aaron Mueller; Candace Ross; Alex Warstadt; Ethan Wilcox; Adina Williams; Chengxu Zhuang (CoRR, 2024)

Transformers Can Represent n-gram Language Models. - Anej Svete; Ryan Cotterell (CoRR, 2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Shing Moon Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (CoRR, 2024)

Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon. - Amanda Doucette; Ryan Cotterell; Morgan Sonderegger; Timothy J. O'Donnell (CoRR, 2024)

A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. - Naaman Tan; Josef Valvoda; Anej Svete; Tianyu Liu 004; Yanxia Qin; Min-Yen Kan; Ryan Cotterell (CoRR, 2024)

Variational Best-of-N Alignment. - Afra Amini; Tim Vieira; Ryan Cotterell (CoRR, 2024)

Blow-up in Non-Deterministic Automata. - Ivan Baburin; Ryan Cotterell (CoRR, 2024)

Do Language Models Have a Critical Period for Language Acquisition? - Ionut Constantinescu; Tiago Pimentel; Ryan Cotterell; Alex Warstadt (CoRR, 2024)

Can Transformers Learn n-gram Language Models? - Anej Svete; Nadav Borenstein; Mike Zhou; Isabelle Augenstein; Ryan Cotterell (CoRR, 2024)

An L* Algorithm for Deterministic Weighted Regular Languages. - Clemente Pasti; Talu Karagöz; Anej Svete; Franz Nowak; Reda Boumasmoud; Ryan Cotterell (CoRR, 2024)

Counterfactual Generation from Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (CoRR, 2024)

Likelihood as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2024)

From Language Models over Tokens to Language Models over Characters. - Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2024)

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Michael Y. Hu; Aaron Mueller; Candace Ross; Adina Williams; Tal Linzen; Chengxu Zhuang; Ryan Cotterell; Leshem Choshen; Alex Warstadt; Ethan Gotlieb Wilcox (CoRR, 2024)

The Ethics of Automating Legal Actors. - Josef Valvoda; Alec Thompson; Ryan Cotterell; Simone Teufel (Trans. Assoc. Comput. Linguistics, 2024)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior. - Francesco Ignazio Re; Andreas Opedal; Glib Manaiev; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

Information Locality as an Inductive Bias for Neural Language Models. - Taiga Someya; Anej Svete; Brian DuSell; Timothy J. O'Donnell; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

The Harmonic Structure of Information Contours. - Eleftheria Tsipidi; Samuel Kiegeland; Franz Nowak; Tianyang Xu; Ethan Wilcox; Alex Warstadt; Ryan Cotterell; Mario Giulianelli (ACL (1), 2025)

Syntactic Control of Language Models by Posterior Inference. - Vicky Xefteri; Tim Vieira; Ryan Cotterell; Afra Amini (ACL (Findings), 2025)

Taxonomy-Aware Evaluation of Vision-Language Models. - Vésteinn Snæbjarnarson; Kevin Du; Niklas Stoehr; Serge J. Belongie; Ryan Cotterell; Nico Lang; Stella Frank (CVPR, 2025)

A Close Analysis of the Subset Construction. - Ivan Baburin; Ryan Cotterell (DCFS, 2025)

Variational Best-of-N Alignment. - Afra Amini; Tim Vieira; Elliott Ash; Ryan Cotterell (ICLR, 2025)

Training Neural Networks as Recognizers of Formal Languages. - Alexandra Butoi; Ghazal Khalighinejad; Anej Svete; Josef Valvoda; Ryan Cotterell; Brian DuSell (ICLR, 2025)

The Foundations of Tokenization: Statistical and Computational Concerns. - Juan Luis Gastaldi; John Terilla; Luca Malagutti; Brian DuSell; Tim Vieira; Ryan Cotterell (ICLR, 2025)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. - João Loula; Benjamin LeBrun; Li Du; Ben Lipkin; Clemente Pasti; Gabriel Grand; Tianyu Liu 004; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; et al. (ICLR, 2025)

Controllable Context Sensitivity and the Knob Behind It. - Julian Minder; Kevin Du; Niklas Stoehr; Giovanni Monea; Chris Wendler; Robert West 001; Ryan Cotterell (ICLR, 2025)

Gumbel Counterfactual Generation From Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (ICLR, 2025)

A Practical Method for Generating String Counterfactuals. - Matan Avitan; Ryan Cotterell; Yoav Goldberg; Shauli Ravfogel (NAACL (Findings), 2025)

A Distributional Perspective on Word Learning in Neural Language Models. - Filippo Ficarra; Ryan Cotterell; Alex Warstadt (NAACL (Long Papers), 2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. - Tianyu Liu 004; Jirui Qi; Paul He; Arianna Bisazza; Mrinmaya Sachan; Ryan Cotterell (NAACL (Long Papers), 2025)

Investigating Critical Period Effects in Language Acquisition through Neural Language Models. - Ionut Constantinescu; Tiago Pimentel; Ryan Cotterell; Alex Warstadt (Trans. Assoc. Comput. Linguistics, 2025)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Clara Meister; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; et al. (Trans. Mach. Learn. Res., 2025)

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. - Lucas Charpentier; Leshem Choshen; Ryan Cotterell; Mustafa Omer Gul; Michael Y. Hu; Jaap Jumelet; Tal Linzen; Jing Liu; Aaron Mueller; Candace Ross; Raj Sanjay Shah; Alex Warstadt; et al. (CoRR, 2025)

Can Language Models Learn Typologically Implausible Languages? - Tianyang Xu; Tatsuki Kuribayashi; Yohei Oseki; Ryan Cotterell; Alex Warstadt (CoRR, 2025)

Unique Hard Attention: A Tale of Two Sides. - Selim Jerad; Anej Svete; Jiaoda Li; Ryan Cotterell (CoRR, 2025)

Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. - Benjamin Lipkin; Benjamin LeBrun; Jacob Hoover Vigly; João Loula; David R. MacIver; Li Du; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; Timothy J. O'Donnell; Alexander K. Lew; Tim Vieira (CoRR, 2025)

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Alex Warstadt; Aaron Mueller; Leshem Choshen; Ethan Wilcox; Chengxu Zhuang; Juan Ciro; Rafael Mosquera; Bhargavi Paranjape; Adina Williams; Tal Linzen; Ryan Cotterell (CoRR, 2025)

Better Estimation of the KL Divergence Between Language Models. - Afra Amini; Tim Vieira; Ryan Cotterell (CoRR, 2025)

Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models. - Lennart Stöpler; Rufat Asadli; Mitja Nikolaus; Ryan Cotterell; Alex Warstadt (CoRR, 2025)

Characterizing the Expressivity of Transformer Language Models. - Jiaoda Li; Ryan Cotterell (CoRR, 2025)

Language Models over Canonical Byte-Pair Encodings. - Tim Vieira; Tianyu Liu 004; Clemente Pasti; Yahya Emara; Brian DuSell; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2025)