Juan Diego Rodriguez

I am a third year PhD student in Computer Science at The University of Texas at Austin, working with Greg Durrett and Katrin Erk. I am broadly interested in natural language processing and computational semantics.

Before joining the PhD program, I worked on applied NLP research at Applied Research Laboratories, The University of Texas at Austin. Before that, I obtained a Masters in Computational Science, Engineering and Mathematics from UT Austin and a BA in Mathematics from Pomona College.

Publications

• (preprint) Characterizing the Role of Similarity in the Property Inferences of Language Models
  Juan Diego Rodriguez, Aaron Mueller, and Kanishka Misra. arXiv 2024.

• (preprint) To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
  Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, and Greg Durrett. arXiv 2024.

• X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
  Juan Diego Rodriguez, Katrin Erk, and Greg Durrett. NAACL 2024.

• Lil-bevo: Explorations of strategies for training language models in more humanlike ways
  Venkata S Govindarajan, Juan Diego Rodriguez, Kaj Bostrom, and Kyle Mahowald. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning (2023)

• WiCE: Real-World Entailment for Claims in Wikipedia
  Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett. EMNLP 2023.

• Cross-Domain Detection of GPT-2-Generated Technical Text
  Juan Diego Rodriguez, Todd Hay, David Gros, Zain Shamsi, and Ravi Srinivasan. NAACL 2022.

• Reusable Templates and Guides for Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
  Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann, and Yacine Jernite. Proceedings of the 1st Workshop of Natural Language Generation, Evaluation, and Metrics (GEM 2021).

• Leveraging WordNet Paths for Neural Hypernym Prediction
  Yejin Cho, Juan Diego Rodriguez, Yifan Gao, and Katrin Erk. COLING 2020.

• Transfer Learning for Entity Recognition of Novel Classes
  Juan Diego Rodriguez, Adam Caldwell, and Alex Liu. COLING 2018 (Area Chair Favorite)

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