Nathaniel Weir

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Natural Language

Question Answering

Top Venues

SIGMOD Conference

Publications

Kate Sanders, Nathaniel Weir, Benjamin Van Durme
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. CoRR (2024)
Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme
Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. CoRR (2024)
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
Learning to Reason via Program Generation, Emulation, and Search. CoRR (2024)
Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme
"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. EACL (1) (2024)
Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi
SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. CoRR (2024)
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
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. CoRR (2024)
Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger
Reframing Tax Law Entailment as Analogical Reasoning. CoRR (2024)
Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) (2024)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS (2023)
Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data. CoRR (2023)
Nathaniel Weir, Benjamin Van Durme
Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. CoRR (2022)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR (2022)
Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR (2022)
Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani
Ontologically Faithful Generation of Non-Player Character Dialogues. CoRR (2022)
Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme
InFillmore: Frame-Guided Language Generation with Bidirectional Context. *SEM (2021)
Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme
InFillmore: Neural Frame Lexicalization for Narrative Text Infilling. CoRR (2021)
Nathaniel Weir, Prasetya Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Ugur Çetintemel, Carsten Binnig
DBPal: A Fully Pluggable NL2SQL Training Pipeline. SIGMOD Conference (2020)
Nathaniel Weir, Adam Poliak, Benjamin Van Durme
Probing Neural Language Models for Human Tacit Assumptions. CogSci (2020)
Nathaniel Weir, Adam Poliak, Benjamin Van Durme
On the Existence of Tacit Assumptions in Contextualized Language Models. CoRR (2020)
Nathaniel Weir, João Sedoc, Benjamin Van Durme
COD3S: Diverse Generation with Discrete Semantic Signatures. CoRR (2020)
Nathaniel Weir, João Sedoc, Benjamin Van Durme
COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP (1) (2020)
Nathaniel Weir, Prasetya Utama
Bootstrapping an End-to-End Natural Language Interface for Databases. SIGMOD Conference (2019)
Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Çetintemel, Prasetya Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Carsten Binnig
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. CoRR (2019)
Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Çetintemel, Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta
An End-to-end Neural Natural Language Interface for Databases. CoRR (2018)
Fuat Basik, Benjamin Hättasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Utama, Nathaniel Weir, Carsten Binnig, Ugur Çetintemel
DBPal: A Learned NL-Interface for Databases. SIGMOD Conference (2018)
Carsten Binnig, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen
Towards Interactive Data Exploration. BIRTE (Revised Selected Papers) (2017)