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

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

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

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

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

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)

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

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

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)

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

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)

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)

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)