Julia Rozanova

According to our database, Julia Rozanova authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models.

Julia Rozanova, Marco Valentino, André Freitas

CoRR, 2023

Interventional Probing in High Dimensions: An NLI Case Study.

Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

Trans. Assoc. Comput. Linguistics, 2022

Montague semantics and modifier consistency measurement in neural language models.

Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas

CoRR, 2022

Decomposing Natural Logic Inferences for Neural NLI.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective.

Edoardo Manino, Julia Rozanova, Danilo S. Carvalho, André Freitas, Lucas C. Cordeiro

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

To be or not to be an Integer? Encoding Variables for Mathematical Text.

Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

EnnCore: End-to-End Conceptual Guarding of Neural Architectures.

Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?

Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas

CoRR, 2021

Supporting Context Monotonicity Abstractions in Neural NLI Models.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2021

∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

CoRR, 2021

Does My Representation Capture X? Probe-Ably.

Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

On the Evaluation of Intelligence Process Automation.

Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas

CoRR, 2020