Julia Rozanova

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Semidefinite Program

Top Venues

Publications

Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. CoRR (2024)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. LREC/COLING (2024)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. EACL (Findings) (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. CoRR (2023)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models. CoRR (2023)
Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. ACL (Findings) (2022)
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Decomposing Natural Logic Inferences for Neural NLI. BlackboxNLP@EMNLP (2022)
Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) (2022)
Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas
Montague semantics and modifier consistency measurement in neural language models. CoRR (2022)
Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. CoRR (2022)
Edoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Lujan, Xiaowei Huang, Lucas C. Cordeiro
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. SafeAI@AAAI (2022)
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10 (2022)
Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? CoRR (2021)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Does My Representation Capture X? Probe-Ably. CoRR (2021)
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas
Decomposing Natural Logic Inferences in Neural NLI. CoRR (2021)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Does My Representation Capture X? Probe-Ably. ACL (demo) (2021)
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Supporting Context Monotonicity Abstractions in Neural NLI Models. CoRR (2021)
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. CoRR (2021)
Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas
On the Evaluation of Intelligence Process Automation. CoRR (2020)