Anthony Sicilia

According to our database1, Anthony Sicilia authored at least 18 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others in Conversation Forecasting.
CoRR, 2024

Generating Signed Language Instructions in Large-Scale Dialogue Systems.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Combining Discourse Coherence with Large Language Models for More Inclusive, Equitable, and Robust Task-Oriented Dialogue.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Domain adversarial neural networks for domain generalization: when it works and how to improve.
Mach. Learn., July, 2023

How Old is GPT?: The HumBEL Framework for Evaluating Language Models using Human Demographic Data.
CoRR, 2023

Learning to Generate Equitable Text in Dialogue from Biased Training Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights.
Trans. Assoc. Comput. Linguistics, 2022

PAC-Bayesian domain adaptation bounds for multiclass learners.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Test-time Fourier Style Calibration for Domain Generalization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Robust White Matter Hyperintensity Segmentation On Unseen Domain.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
DeepHoops: Evaluating Micro-Actions in Basketball Using Deep Feature Representations of Spatio-Temporal Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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