Afra Amini

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Causal Inferences

Top Venues

Publications

Afra Amini, Tim Vieira, Ryan Cotterell
Direct Preference Optimization with an Offset. ACL (Findings) (2024)
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 (2024)
Afra Amini, Tim Vieira, Ryan Cotterell
Direct Preference Optimization with an Offset. CoRR (2024)
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)
Afra Amini, Tim Vieira, Ryan Cotterell
Variational Best-of-N Alignment. CoRR (2024)
Afra Amini, Tianyu Liu, Ryan Cotterell
Hexatagging: Projective Dependency Parsing as Tagging. CoRR (2023)
Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel
Generating Text from Language Models. ACL (tutorial) (2023)
Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
Learning the String Partial Order. CoRR (2023)
Robin Chan, Afra Amini, Mennatallah El-Assady
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. CoRR (2023)
Afra Amini, Li Du, Ryan Cotterell
Structured Voronoi Sampling. CoRR (2023)
Robin Chan, Afra Amini, Mennatallah El-Assady
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. ACL (demo) (2023)
Afra Amini, Li Du, Ryan Cotterell
Structured Voronoi Sampling. NeurIPS (2023)
Jannis Bulian, Mike S. Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede, Markus Leippold, Nadine Strauß
Assessing Large Language Models on Climate Information. CoRR (2023)
Afra Amini, Tianyu Liu, Ryan Cotterell
Hexatagging: Projective Dependency Parsing as Tagging. ACL (2) (2023)
Afra Amini, Massimiliano Ciaramita
Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models. CoRR (2023)
Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell
Naturalistic Causal Probing for Morpho-Syntax. Trans. Assoc. Comput. Linguistics 11 (2023)
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
Principled Gradient-based Markov Chain Monte Carlo for Text Generation. CoRR (2023)
Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP (2023)
Afra Amini, Ryan Cotterell
On Parsing as Tagging. CoRR (2022)
Afra Amini, Ryan Cotterell
On Parsing as Tagging. EMNLP (2022)
Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell
Naturalistic Causal Probing for Morpho-Syntax. CoRR (2022)
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
Conditional Poisson Stochastic Beams. EMNLP (1) (2021)
Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell
Conditional Poisson Stochastic Beam Search. CoRR (2021)
Adeleh Bitarafan, Afra Amini, Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami
A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks. MeMeA (2020)