Nitay Calderon

According to our database1, Nitay Calderon authored at least 20 papers between 2021 and 2026.

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Bibliography

2026
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality.
CoRR, February, 2026

LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals.
CoRR, January, 2026

2025
Leveraging NTPs for Efficient Hallucination Detection in VLMs.
CoRR, September, 2025

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation.
CoRR, March, 2025

On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NL-Eye: Abductive NLI For Images.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Multi-Domain Explainability of Preferences.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Measuring the Robustness of NLP Models to Domain Shifts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Measuring the Robustness of Natural Language Processing Models to Domain Shifts.
CoRR, 2023

A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images.
CoRR, 2023

A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry (Technical Report).
CoRR, 2022

A Functional Information Perspective on Model Interpretation.
Proceedings of the International Conference on Machine Learning, 2022

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021


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