Towards Interactive Data Exploration. - Carsten Binnig; Fuat Basik; Benedetto Buratti; Ugur Çetintemel; Yeounoh Chung; Andrew Crotty; Cyrus Cousins; Dylan Ebert; Philipp Eichmann; Alex Galakatos; Benjamin Hättasch; Amir Ilkhechi; et al. (BIRTE (Revised Selected Papers), 2017)

DBPal: A Learned NL-Interface for Databases. - Fuat Basik; Benjamin Hättasch; Amir Ilkhechi; Arif Usta; Shekar Ramaswamy; Prasetya Ajie Utama; Nathaniel Weir; Carsten Binnig; Ugur Çetintemel (SIGMOD Conference, 2018)

An End-to-end Neural Natural Language Interface for Databases. - Prasetya Ajie Utama; Nathaniel Weir; Fuat Basik; Carsten Binnig; Ugur Çetintemel; Benjamin Hättasch; Amir Ilkhechi; Shekar Ramaswamy; Arif Usta (CoRR, 2018)

Bootstrapping an End-to-End Natural Language Interface for Databases. - Nathaniel Weir; Prasetya Ajie Utama (SIGMOD Conference, 2019)

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. - 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 (CoRR, 2019)

Probing Neural Language Models for Human Tacit Assumptions. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CogSci, 2020)

COD3S: Diverse Generation with Discrete Semantic Signatures. - Nathaniel Weir; João Sedoc; Benjamin Van Durme (EMNLP (1), 2020)

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 Hättasch; Steffen Eger; Ugur Çetintemel; Carsten Binnig (SIGMOD Conference, 2020)

On the Existence of Tacit Assumptions in Contextualized Language Models. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CoRR, 2020)

InFillmore: Frame-Guided Language Generation with Bidirectional Context. - Jiefu Ou; Nathaniel Weir; Anton Belyy; Felix Yu; Benjamin Van Durme (*SEM, 2021)

InFillmore: Neural Frame Lexicalization for Narrative Text Infilling. - Jiefu Ou; Nathaniel Weir; Anton Belyy; Felix Yu; Benjamin Van Durme (CoRR, 2021)

Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. - Nathaniel Weir; Benjamin Van Durme (CoRR, 2022)

Defending Against Poisoning Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2022)

One-Shot Learning from a Demonstration with Hierarchical Latent Language. - Nathaniel Weir; Xingdi Yuan; Marc-Alexandre Côté; Matthew J. Hausknecht; Romain Laroche; Ida Momennejad; Harm van Seijen; Benjamin Van Durme (AAMAS, 2023)

Defending Against Disinformation Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (EACL (2), 2024)

"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 (EACL (1), 2024)

TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. - Kate Sanders 002; Nathaniel Weir; Benjamin Van Durme (EMNLP, 2024)

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. - Nathaniel Weir; Kate Sanders 002; Orion Weller; Shreya Sharma 010; Dongwei Jiang; Zhengping Jiang; Bhavana Dalvi Mishra; Oyvind Tafjord; Peter A. Jansen; Peter Clark; Benjamin Van Durme (EMNLP, 2024)

Ontologically Faithful Generation of Non-Player Character Dialogues. - Nathaniel Weir; Ryan Thomas; Randolph D'Amore; Kellie Hill; Benjamin Van Durme; Harsh Jhamtani (EMNLP, 2024)

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. - Nathaniel Weir; Peter Clark; Benjamin Van Durme (IJCAI, 2024)

Learning to Reason via Program Generation, Emulation, and Search. - Nathaniel Weir; Muhammad Khalifa; Linlu Qiu; Orion Weller; Peter Clark (NeurIPS, 2024)

Reframing Tax Law Entailment as Analogical Reasoning. - Xinrui Zou; Ming Zhang; Nathaniel Weir; Benjamin Van Durme; Nils Holzenberger (CoRR, 2024)

SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. - Dongwei Jiang; Jingyu Zhang; Orion Weller; Nathaniel Weir; Benjamin Van Durme; Daniel Khashabi (CoRR, 2024)

Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. - Zhengping Jiang; Jingyu Zhang; Nathaniel Weir; Seth Ebner; Miriam Wanner; Kate Sanders 002; Daniel Khashabi; Anqi Liu; Benjamin Van Durme (CoRR, 2024)

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. - Dongwei Jiang; Jingyu Zhang; Orion Weller; Nathaniel Weir; Benjamin Van Durme; Daniel Khashabi (AAAI, 2025)

Core: Robust Factual Precision with Informative Sub-Claim Identification. - Zhengping Jiang; Jingyu Zhang; Nathaniel Weir; Seth Ebner; Miriam Wanner; Kate Sanders 002; Daniel Khashabi; Anqi Liu; Benjamin Van Durme (ACL (Findings), 2025)

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 (ICLR, 2025)