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Ryan Cotterell
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- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2024
- [j21]Josef Valvoda, Alec Thompson, Ryan Cotterell, Simone Teufel:
The Ethics of Automating Legal Actors. Trans. Assoc. Comput. Linguistics 12: 700-720 (2024) - [c181]Anej Svete, Robin Chan, Ryan Cotterell:
On Efficiently Representing Regular Languages as RNNs. ACL (Findings) 2024: 4118-4135 - [c180]Afra Amini, Tim Vieira, Ryan Cotterell:
Direct Preference Optimization with an Offset. ACL (Findings) 2024: 9954-9972 - [c179]Li Du, Holden Lee, Jason Eisner, Ryan Cotterell:
When is a Language Process a Language Model? ACL (Findings) 2024: 11083-11094 - [c178]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) 2024: 12365-12379 - [c177]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. ACL (1) 2024: 12510-12548 - [c176]Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. ACL (1) 2024: 13211-13235 - [c175]Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. ACL (1) 2024: 15115-15134 - [c174]Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox:
On the Role of Context in Reading Time Prediction. EMNLP 2024: 3042-3058 - [c173]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. EMNLP (Findings) 2024: 6615-6626 - [c172]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. EMNLP (Findings) 2024: 8189-8200 - [c171]Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Reda Boumasmoud, Ryan Cotterell:
An L* Algorithm for Deterministic Weighted Regular Languages. EMNLP 2024: 8197-8210 - [c170]Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. EMNLP 2024: 9367-9389 - [c169]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? EMNLP 2024: 9851-9867 - [c168]Mario Giulianelli, Andreas Opedal, Ryan Cotterell:
Generalized Measures of Anticipation and Responsivity in Online Language Processing. EMNLP (Findings) 2024: 11648-11669 - [c167]Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. EMNLP 2024: 14805-14829 - [c166]Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell:
On the Proper Treatment of Tokenization in Psycholinguistics. EMNLP 2024: 18556-18572 - [c165]Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt:
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. EMNLP 2024: 18820-18836 - [c164]Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell:
Principled Gradient-Based MCMC for Conditional Sampling of Text. ICML 2024 - [c163]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 - [c162]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
Representation Surgery: Theory and Practice of Affine Steering. ICML 2024 - [c161]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. IROS 2024: 9628-9635 - [c160]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. NAACL-HLT (Findings) 2024: 4318-4335 - [c159]Anej Svete, Franz Nowak, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. NAACL-HLT 2024: 6820-6844 - [c158]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. NAACL-HLT 2024: 6845-6881 - [c157]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: 6882-6899 - [c156]Josef Valvoda, Ryan Cotterell:
Towards Explainability in Legal Outcome Prediction Models. NAACL-HLT 2024: 7269-7289 - [e4]Michael Hahn, Alexey Sorokin, Ritesh Kumar, Andreas Scherbakov, Yulia Otmakhova, Jinrui Yang, Oleg Serikov, Priya Rani, Edoardo M. Ponti, Saliha Muradoglu, Rena Gao, Ryan Cotterell, Ekaterina Vylomova:
Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, SIGTYPE 2024, St. Julian's, Malta, March 22, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-071-4 [contents] - [i209]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR abs/2401.18070 (2024) - [i208]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
MiMiC: Minimally Modified Counterfactuals in the Representation Space. CoRR abs/2402.09631 (2024) - [i207]Afra Amini, Tim Vieira, Ryan Cotterell:
Direct Preference Optimization with an Offset. CoRR abs/2402.10571 (2024) - [i206]Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel:
What Changed? Converting Representational Interventions to Natural Language. CoRR abs/2402.11355 (2024) - [i205]Anej Svete, Robin Shing Moon Chan, Ryan Cotterell:
A Theoretical Result on the Inductive Bias of RNN Language Models. CoRR abs/2402.15814 (2024) - [i204]Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin:
On the Challenges and Opportunities in Generative AI. CoRR abs/2403.00025 (2024) - [i203]Seif Ismail, Antonio Arbues, Ryan Cotterell, René Zurbrügg, Carmen Amo Alonso:
NARRATE: Versatile Language Architecture for Optimal Control in Robotics. CoRR abs/2403.10762 (2024) - [i202]Josef Valvoda, Ryan Cotterell:
Towards Explainability in Legal Outcome Prediction Models. CoRR abs/2403.16852 (2024) - [i201]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 abs/2403.17240 (2024) - [i200]Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. CoRR abs/2404.04633 (2024) - [i199]Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024) - [i198]Ryan Cotterell, Thomas Müller, Alexander Fraser, Hinrich Schütze:
Labeled Morphological Segmentation with Semi-Markov Models. CoRR abs/2404.08997 (2024) - [i197]Ryan Cotterell, Kevin Duh:
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields. CoRR abs/2404.09383 (2024) - [i196]Anej Svete, Ryan Cotterell:
Transformers Can Represent n-gram Language Models. CoRR abs/2404.14994 (2024) - [i195]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. CoRR abs/2405.04515 (2024) - [i194]Thomas Müller, Ryan Cotterell, Alexander Fraser, Hinrich Schütze:
Joint Lemmatization and Morphological Tagging with LEMMING. CoRR abs/2405.18308 (2024) - [i193]Anej Svete, Franz Nowak
, Anisha Mohamed Sahabdeen, Ryan Cotterell:
Lower Bounds on the Expressivity of Recurrent Neural Language Models. CoRR abs/2405.19222 (2024) - [i192]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. CoRR abs/2406.02329 (2024) - [i191]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR abs/2406.04216 (2024) - [i190]Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. CoRR abs/2406.04289 (2024) - [i189]Amanda Doucette, Ryan Cotterell, Morgan Sonderegger, Timothy J. O'Donnell:
Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon. CoRR abs/2406.05186 (2024) - [i188]Naaman Tan, Josef Valvoda, Anej Svete, Tianyu Liu, Yanxia Qin, Min-Yen Kan, Ryan Cotterell:
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. CoRR abs/2406.10203 (2024) - [i187]Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell:
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning. CoRR abs/2406.14197 (2024) - [i186]Afra Amini, Tim Vieira, Ryan Cotterell:
Variational Best-of-N Alignment. CoRR abs/2407.06057 (2024) - [i185]Ivan Baburin, Ryan Cotterell:
Blow-up in Non-Deterministic Automata. CoRR abs/2407.09891 (2024) - [i184]Juan Luis Gastaldi, John Terilla, Luca Malagutti, Brian DuSell, Tim Vieira, Ryan Cotterell:
The Foundations of Tokenization: Statistical and Computational Concerns. CoRR abs/2407.11606 (2024) - [i183]Ionut Constantinescu, Tiago Pimentel, Ryan Cotterell, Alex Warstadt:
Do Language Models Have a Critical Period for Language Acquisition? CoRR abs/2407.19325 (2024) - [i182]Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Gotlieb Wilcox:
On the Role of Context in Reading Time Prediction. CoRR abs/2409.08160 (2024) - [i181]Mario Giulianelli, Andreas Opedal, Ryan Cotterell:
Generalized Measures of Anticipation and Responsivity in Online Language Processing. CoRR abs/2409.10728 (2024) - [i180]Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell:
On the Proper Treatment of Tokenization in Psycholinguistics. CoRR abs/2410.02691 (2024) - [i179]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? CoRR abs/2410.03001 (2024) - [i178]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. CoRR abs/2410.04962 (2024) - [i177]Samuel Kiegeland, Ethan Gotlieb Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell:
Reverse-Engineering the Reader. CoRR abs/2410.13086 (2024) - [i176]Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell:
Efficiently Computing Susceptibility to Context in Language Models. CoRR abs/2410.14361 (2024) - [i175]Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt:
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse. CoRR abs/2410.16062 (2024) - [i174]Clemente Pasti, Talu Karagöz, Anej Svete, Franz Nowak, Reda Boumasmoud, Ryan Cotterell:
An L* Algorithm for Deterministic Weighted Regular Languages. CoRR abs/2411.06228 (2024) - [i173]Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef Valvoda, Ryan Cotterell, Brian DuSell:
Training Neural Networks as Recognizers of Formal Languages. CoRR abs/2411.07107 (2024) - [i172]Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson, Ryan Cotterell:
Counterfactual Generation from Language Models. CoRR abs/2411.07180 (2024) - [i171]Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell:
Controllable Context Sensitivity and the Knob Behind It. CoRR abs/2411.07404 (2024) - [i170]Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell:
Likelihood as a Performance Gauge for Retrieval-Augmented Generation. CoRR abs/2411.07773 (2024) - [i169]Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell, John Terilla, Timothy J. O'Donnell, Ryan Cotterell:
From Language Models over Tokens to Language Models over Characters. CoRR abs/2412.03719 (2024) - [i168]Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox:
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. CoRR abs/2412.05149 (2024) - 2023
- [j20]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, Khuyagbaatar Batsuren
, Kaiser Sun
, Koustuv Sinha, Leila Khalatbari, Maria Ryskina
, Rita Frieske
, Ryan Cotterell, Zhijing Jin
:
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [j19]Josef Valvoda, Ryan Cotterell, Simone Teufel:
On the Role of Negative Precedent in Legal Outcome Prediction. Trans. Assoc. Comput. Linguistics 11: 34-48 (2023) - [j18]Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell:
Locally Typical Sampling. Trans. Assoc. Comput. Linguistics 11: 102-121 (2023) - [j17]Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell:
Naturalistic Causal Probing for Morpho-Syntax. Trans. Assoc. Comput. Linguistics 11: 384-403 (2023) - [j16]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: 1048-1065 (2023) - [j15]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: 1451-1470 (2023) - [j14]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: 1624-1642 (2023) - [j13]Rita Sevastjanova
, Eren Cakmak
, Shauli Ravfogel, Ryan Cotterell, Mennatallah El-Assady:
Visual Comparison of Language Model Adaptation. IEEE Trans. Vis. Comput. Graph. 29(1): 1178-1188 (2023) - [c155]Karolina Stanczak
, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
:
A Latent-Variable Model for Intrinsic Probing. AAAI 2023: 13591-13599 - [c154]Franz Nowak
, Ryan Cotterell:
A Fast Algorithm for Computing Prefix Probabilities. ACL (2) 2023: 57-69 - [c153]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: 598-614 - [c152]Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell:
On the Efficacy of Sampling Adapters. ACL (1) 2023: 1437-1455 - [c151]Afra Amini, Tianyu Liu, Ryan Cotterell
:
Hexatagging: Projective Dependency Parsing as Tagging. ACL (2) 2023: 1453-1464 - [c150]Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. ACL (1) 2023: 3687-3713 - [c149]Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein:
An Ordinal Latent Variable Model of Conflict Intensity. ACL (1) 2023: 4817-4830 - [c148]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi
, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. ACL (1) 2023: 5184-5207 - [c147]Alexandra Butoi, Ryan Cotterell, David Chiang:
Convergence and Diversity in the Control Hierarchy. ACL (1) 2023: 7597-7616 - [c146]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) 2023: 7853-7872 - [c145]Shauli Ravfogel, Yoav Goldberg, Ryan Cotterell:
Linear Guardedness and its Implications. ACL (1) 2023: 9413-9431 - [c144]Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. ACL (1) 2023: 9744-9770 - [c143]Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell
:
Generalizing Backpropagation for Gradient-Based Interpretability. ACL (1) 2023: 11979-11995 - [c142]Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel:
Generating Text from Language Models. ACL (tutorial) 2023: 27-31 - [c141]Niklas Stoehr, Benjamin J. Radford
, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for State-Space Models. AISTATS 2023: 1888-1903 - [c140]Niklas Stoehr, Ryan Cotterell, Aaron Schein:
Sentiment as an Ordinal Latent Variable. EACL 2023: 103-115 - [c139]Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell:
On the Intersection of Context-Free and Regular Languages. EACL 2023: 737-749 - [c138]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP 2023: 808-830 - [c137]Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell:
Revisiting the Optimality of Word Lengths. EMNLP 2023: 2240-2255 - [c136]Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang:
Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. EMNLP 2023: 5394-5416 - [c135]Franz Nowak
, Anej Svete, Li Du, Ryan Cotterell:
On the Representational Capacity of Recurrent Neural Language Models. EMNLP 2023: 7011-7034 - [c134]Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel:
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. EMNLP 2023: 7503-7511 - [c133]Anej Svete, Ryan Cotterell:
Recurrent Neural Language Models as Probabilistic Finite-state Automata. EMNLP 2023: 8069-8086 - [c132]Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev:
Quantifying the redundancy between prosody and text. EMNLP 2023: 9765-9784 - [c131]Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira:
An Exploration of Left-Corner Transformations. EMNLP 2023: 13393-13427 - [c130]Tiago Pimentel, Clara Meister, Ryan Cotterell
:
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. ICLR 2023 - [c129]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell
, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. ICML 2023: 42602-42613 - [c128]Afra Amini, Li Du, Ryan Cotterell:
Structured Voronoi Sampling. NeurIPS 2023 - [c127]Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman:
LEACE: Perfect linear concept erasure in closed form. NeurIPS 2023 - [i167]Anej Svete, Benjamin Dayan, Tim Vieira, Ryan Cotterell, Jason Eisner:
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs. CoRR abs/2301.06862 (2023) - [i166]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i165]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. CoRR abs/2304.14293 (2023) - [i164]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR abs/2305.11142 (2023) - [i163]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Efficient Prompting via Dynamic In-Context Learning. CoRR abs/2305.11170 (2023) - [i162]Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan:
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR abs/2305.13304 (2023) - [i161]Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell:
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR abs/2305.14555 (2023) - [i160]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Learning the String Partial Order. CoRR abs/2305.15057 (2023) - [i159]