Relation Alignment for Textual Entailment Recognition. - Mark Sammons; V. G. Vinod Vydiswaran; Tim Vieira; Nikhil Johri; Ming-Wei Chang; Dan Goldwasser; Vivek Srikumar; Gourab Kundu; Yuancheng Tu; Kevin Small; Joshua S. Rule; Quang Do; et al. (TAC, 2009)

Grammarless Parsing for Joint Inference. - Jason Naradowsky; Tim Vieira; David A. Smith (COLING, 2012)

Reasoning about Quantities in Natural Language. - Subhro Roy; Tim Vieira; Dan Roth (Trans. Assoc. Comput. Linguistics, 2015)

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

Universal Decompositional Semantics on Universal Dependencies. - Aaron Steven White; Dee Ann Reisinger; Keisuke Sakaguchi; Tim Vieira; Sheng Zhang 012; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2016)

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

Dyna: toward a self-optimizing declarative language for machine learning applications. - Tim Vieira; Matthew Francis-Landau; Nathaniel Wesley Filardo; Farzad Khorasani; Jason Eisner (MAPL@PLDI, 2017)

Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing. - Tim Vieira; Jason Eisner (Trans. Assoc. Comput. Linguistics, 2017)

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

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

The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Aaron Steven White; Elias Stengel-Eskin; Siddharth Vashishtha; Venkata Subrahmanyan Govindarajan; Dee Ann Reisinger; Tim Vieira; Keisuke Sakaguchi; Sheng Zhang 012; Francis Ferraro; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (LREC, 2020)

Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations. - Matthew Francis-Landau; Tim Vieira; Jason Eisner (CoRR, 2020)

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

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)

Conditional Poisson Stochastic Beams. - Clara Meister; Afra Amini; Tim Vieira; 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)

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)

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

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

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

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

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

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

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

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

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

Variational Best-of-N Alignment. - Afra Amini; Tim Vieira; 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)

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

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

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)

Better Estimation of the KL Divergence Between Language Models. - Afra Amini; Tim Vieira; 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)