Nathaniel Weir
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CAV | A Neurosymbolic Approach to Natural Language Formalization and Verification. | Chenyang An, Sam Bayless, Stefano Buliani, Darion Cassel, Byron Cook, Duncan Clough, Rmi Delmas, Nafi Diallo, Ferhat Erata, Nick Feng, Dimitra Giannakopoulou, Aman Goel, Aditya Gokhale, Joe Hendrix, Victor Heorhiadi, Marc Hudak, Dejan Jovanovic, Andrew M. Kent, Benjamin Kiesl-Reiter, Jeffrey J. Kuna, Nadia Labai, Joseph Lilien, Divya Raghunathan, Zvonimir Rakamaric, Niloofar Razavi, Michael Tautschnig, Ali Torkamani, Nathaniel Weir, Michael W. Whalen, Jianan Yao |
| 2025 | AAAI | SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. | Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi |
| 2025 | ACL | Core: Robust Factual Precision with Informative Sub-Claim Identification. | Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme |
| 2025 | ICLR | From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering. | Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter A. Jansen, Benjamin Van Durme, Peter Clark |
| 2024 | EACL | Defending Against Disinformation Attacks in Open-Domain Question Answering. | Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme |
| 2024 | EACL | "According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. | Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme |
| 2024 | EMNLP | TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. | Kate Sanders, Nathaniel Weir, Benjamin Van Durme |
| 2024 | EMNLP | Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. | Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme |
| 2024 | EMNLP | Ontologically Faithful Generation of Non-Player Character Dialogues. | Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani |
| 2024 | IJCAI | NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. | Nathaniel Weir, Peter Clark, Benjamin Van Durme |
| 2020 | CogSci | Probing Neural Language Models for Human Tacit Assumptions. | Nathaniel Weir, Adam Poliak, Benjamin Van Durme |
| 2020 | EMNLP | COD3S: Diverse Generation with Discrete Semantic Signatures. | Nathaniel Weir, Joo Sedoc, Benjamin Van Durme |
| 2020 | SIGMOD | DBPal: A Fully Pluggable NL2SQL Training Pipeline. | Nathaniel Weir, Prasetya Ajie Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Httasch, Steffen Eger, Ugur etintemel, Carsten Binnig |
| 2019 | SIGMOD | Bootstrapping an End-to-End Natural Language Interface for Databases. | Nathaniel Weir, Prasetya Ajie Utama |
| 2018 | SIGMOD | DBPal: A Learned NL-Interface for Databases. | Fuat Basik, Benjamin Httasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Ajie Utama, Nathaniel Weir, Carsten Binnig, Ugur etintemel |