Nathaniel Weir

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nweir@jhu.edu

I am a fourth-year PhD student at the Center for Language and Speech Processing at Johns Hopkins University. I am advised by Benjamin Van Durme. I am supported by an NSF Graduate Research Fellowship.

I am currently interning (Summer 2023) at the Allen Institute for Artificial Intelligence under Peter Clark. I previously interned at Microsoft Semantic Machines under Harsh Jhamtani and at Microsoft Research – Montreal under Marc-Alexandre Cote and Eric Yuan.

I have worked on:

Publications

Orion Weller, Marc Marone, Nathaniel Weir, Dawn Lawrie, Daniel Khashabi, and Benjamin Van Durme. “According to ...” Prompting Language Models Improves Quoting from Pre-Training Data.. preprint.

Nathaniel Weir, Ryan Thomas, Randolph d'Amore, Kellie Hill, Benjamin Van Durme, and Harsh Jhamtani. Ontologically Faithful Generation of Non-Player Character Dialogues. preprint.

Orion Weller, Aleem Khan, Nathaniel Weir, Dawn Lawrie, and Benjamin Van Durme. Defending Against Poisoning Attacks in Open-Domain Question Answering. preprint.

Nathaniel Weir and Benjamin Van Durme. Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. preprint.

Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm Van Seijen, and Benjamin Van Durme. One-Shot Learning from a Demonstration with Hierarchical Latent Language. preprint.

Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, and Benjamin Van Durme. InFillmore: Frame-Guided Language Generation with Bidirectional Context. StarSem 2021.

Nathaniel Weir, Joao Sedoc and Benjamin Van Durme. COD3S: Diverse Generation with Discrete Semantic Signatures. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Nathaniel Weir, Adam Poliak, and Benjamin Van Durme. Probing Neural Language Models for Human Tacit Assumptions. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. 2020 (video)

Nathaniel Weir, Prasetya Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hattasch, Steffen Eger, Carsten Binnig, Ugur Cetintemel. DBPal: A Fully Pluggable NL2SQL Training Pipeline. Proceedings of SIGMOD. 2020 Presented as talks at 2018 IBM AI Systems Day 2018 (slides) and North East Database Day 2019.

Nathaniel Weir. Bootstrapping Generalization in Neural Text-to-SQL Semantic Parsing Models. Undergraduate honors thesis, Brown University, Providence, RI 02912.

Fuat Basik, Benjamin Hattasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Utama, Nathaniel Weir, Carsten Binnig and Ugur Cetintemel. DBPal: A Learned NL-Interface for Databases Proceedings of SIGMOD (demo). 2018.

Prasetya Utama, Nathaniel Weir, Carsten Binnig, and Ugur Cetintemel, Voice-based Data Exploration: Chatting with your Database Proceedings of 2017 workshop on Search-Oriented Conversational AI. 2017

Extracurricular

Teaching

I am a teaching assistant at Johns Hopkins for EN.601.470/670: Artificial Agents.

I was a teaching assistant at Brown for