A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks. - Adeleh Bitarafan; Afra Amini; Mahdieh Soleymani Baghshah; Hamidreza Khodajou-Chokami (MeMeA, 2020)

Conditional Poisson Stochastic Beams. - Clara Meister; Afra Amini; Tim Vieira; Ryan Cotterell (EMNLP (1), 2021)

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

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

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

Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. - Robin Chan; Afra Amini; Mennatallah El-Assady (ACL (demo), 2023)

Generating Text from Language Models. - Afra Amini; Ryan Cotterell; John Hewitt; Clara Meister; Tiago Pimentel (ACL (tutorial), 2023)

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

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

Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models. - Afra Amini; Massimiliano Ciaramita (CoRR, 2023)

Learning the String Partial Order. - Tianyu Liu 004; Afra Amini; Mrinmaya Sachan; 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)

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

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

Assessing Large Language Models on Climate Information. - Jannis Bulian; Mike S. Schäfer; Afra Amini; Heidi Lam; Massimiliano Ciaramita; Ben Gaiarin; Michelle Chen Huebscher; Christian Buck; Niels Mede; Markus Leippold; Nadine Strauß (ICML, 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)

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)

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

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