Afra Amini

According to our database1, Afra Amini authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The Role of n-gram Smoothing in the Age of Neural Networks.
CoRR, 2024

Direct Preference Optimization with an Offset.
CoRR, 2024

2023
Principled Gradient-based Markov Chain Monte Carlo for Text Generation.
CoRR, 2023

Assessing Large Language Models on Climate Information.
CoRR, 2023

Learning the String Partial Order.
CoRR, 2023

Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models.
CoRR, 2023

Structured Voronoi Sampling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generating Text from Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Hexatagging: Projective Dependency Parsing as Tagging.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Naturalistic Causal Probing for Morpho-Syntax.
CoRR, 2022

On Parsing as Tagging.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Conditional Poisson Stochastic Beam Search.
CoRR, 2021

Conditional Poisson Stochastic Beams.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020


  Loading...