Julia Rozanova

21 papers B 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
DMAP: A Distribution Map for Text.
CoRR
Tom Kempton, Julia Rozanova, Parameswaran Kamalaruban, Maeve Madigan, Karolina Wresilo, Yoann L. Launay, David Sutton, Stuart Burrell
2025 B conf
Montague semantics and modifier consistency measurement in neural language models.
COLING
Danilo Silva de Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas
2024 — conf
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models.
LREC/COLING
Julia Rozanova, Marco Valentino, André Freitas
2024 J jnl
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models.
CoRR
Julia Rozanova, Marco Valentino, André Freitas
2023 J jnl
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models.
CoRR
Julia Rozanova, Marco Valentino, André Freitas
2023 — conf
Interventional Probing in High Dimensions: An NLI Case Study.
EACL (Findings)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
2023 J jnl
Interventional Probing in High Dimensions: An NLI Case Study.
CoRR
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
2022 — conf
Decomposing Natural Logic Inferences for Neural NLI.
BlackboxNLP@EMNLP
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2022 J jnl
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference.
Trans. Assoc. Comput. Linguistics
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
2022 — conf
EnnCore: End-to-End Conceptual Guarding of Neural Architectures.
SafeAI@AAAI
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
2022 J jnl
Montague semantics and modifier consistency measurement in neural language models.
CoRR
Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas
2022 — conf
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective.
ACL (Findings)
Edoardo Manino, Julia Rozanova, Danilo S. Carvalho, André Freitas, Lucas C. Cordeiro
2022 J jnl
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective.
CoRR
Edoardo Manino, Julia Rozanova, Danilo S. Carvalho, André Freitas, Lucas C. Cordeiro
2022 — conf
To be or not to be an Integer? Encoding Variables for Mathematical Text.
ACL (Findings)
Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas
2021 J jnl
Decomposing Natural Logic Inferences in Neural NLI.
CoRR
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas
2021 — conf
Does My Representation Capture X? Probe-Ably.
ACL (demo)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
Does My Representation Capture X? Probe-Ably.
CoRR
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
CoRR
Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas
2021 J jnl
Supporting Context Monotonicity Abstractions in Neural NLI Models.
CoRR
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization.
CoRR
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
2020 J jnl
On the Evaluation of Intelligence Process Automation.
CoRR
Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas