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ORCIDNathaniel Weir
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2020 – today
- 2024
[c11]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) 2024: 402-417- [c10]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: 2288-2301 - [c9]Nathaniel Weir, Peter Clark, Benjamin Van Durme:
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. IJCAI 2024: 3602-3612 - [i16]Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger:
Reframing Tax Law Entailment as Analogical Reasoning. CoRR abs/2401.06715 (2024) - [i15]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 abs/2402.14798 (2024) - [i14]Kate Sanders, Nathaniel Weir, Benjamin Van Durme:
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. CoRR abs/2402.19467 (2024) - [i13]Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi:
SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. CoRR abs/2404.04298 (2024) - [i12]Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark:
Learning to Reason via Program Generation, Emulation, and Search. CoRR abs/2405.16337 (2024) - [i11]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 abs/2407.03572 (2024) - 2023
- [c8]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: 2388-2390 - [i10]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 abs/2305.13252 (2023) - 2022
- [i9]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 abs/2203.04806 (2022) - [i8]Nathaniel Weir, Benjamin Van Durme:
Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. CoRR abs/2209.07662 (2022) - [i7]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR abs/2212.10002 (2022) - [i6]Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani:
Ontologically Faithful Generation of Non-Player Character Dialogues. CoRR abs/2212.10618 (2022) - 2021
- [c7]Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme:
InFillmore: Frame-Guided Language Generation with Bidirectional Context. *SEM 2021: 129-142 - [i5]Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme:
InFillmore: Neural Frame Lexicalization for Narrative Text Infilling. CoRR abs/2103.04941 (2021) - 2020
- [c6]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
Probing Neural Language Models for Human Tacit Assumptions. CogSci 2020 - [c5]Nathaniel Weir, João Sedoc
, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP (1) 2020: 5199-5211 - [c4]Nathaniel Weir, Prasetya Ajie 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: 2347-2361 - [i4]Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
On the Existence of Tacit Assumptions in Contextualized Language Models. CoRR abs/2004.04877 (2020) - [i3]Nathaniel Weir, João Sedoc, Benjamin Van Durme:
COD3S: Diverse Generation with Discrete Semantic Signatures. CoRR abs/2010.02882 (2020)
2010 – 2019
- 2019
- [c3]Nathaniel Weir, Prasetya Ajie Utama:
Bootstrapping an End-to-End Natural Language Interface for Databases. SIGMOD Conference 2019: 1862-1864 - [i2]Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Çetintemel, Prasetya Ajie Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Carsten Binnig:
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. CoRR abs/1909.06182 (2019) - 2018
- [c2]Fuat Basik, Benjamin Hättasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Ajie Utama, Nathaniel Weir, Carsten Binnig, Ugur Çetintemel:
DBPal: A Learned NL-Interface for Databases. SIGMOD Conference 2018: 1765-1768 - [i1]Prasetya Ajie 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 abs/1804.00401 (2018) - 2017
- [c1]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 Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen:
Towards Interactive Data Exploration. BIRTE (Revised Selected Papers) 2017: 177-190
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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