| Dbpal: A fully pluggable nl2sql training pipeline N Weir, P Utama, A Galakatos, A Crotty, A Ilkhechi, S Ramaswamy, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 109* | 2020 |
| Probing neural language models for human tacit assumptions N Weir, A Poliak, B Van Durme arXiv preprint arXiv:2004.04877, 2020 | 47* | 2020 |
| Dbpal: A learned nl-interface for databases F Basik, B Hättasch, A Ilkhechi, A Usta, S Ramaswamy, P Utama, N Weir, ... Proceedings of the 2018 International Conference on Management of Data, 1765 …, 2018 | 41 | 2018 |
| " According to...": Prompting Language Models Improves Quoting from Pre-Training Data O Weller, M Marone, N Weir, D Lawrie, D Khashabi, B Van Durme arXiv preprint arXiv:2305.13252, 2023 | 25 | 2023 |
| Defending against disinformation attacks in open-domain question answering O Weller, A Khan, N Weir, D Lawrie, B Van Durme arXiv preprint arXiv:2212.10002, 2022 | 19 | 2022 |
| Self-[in] correct: Llms struggle with refining self-generated responses D Jiang, J Zhang, O Weller, N Weir, B Van Durme, D Khashabi arXiv e-prints, arXiv: 2404.04298, 2024 | 16 | 2024 |
| COD3S: Diverse generation with discrete semantic signatures N Weir, J Sedoc, B Van Durme arXiv preprint arXiv:2010.02882, 2020 | 14 | 2020 |
| Voice-based data exploration: Chatting with your database P Utama, N Weir, C Binnig, U Cetintemel Proceedings of the 2017 workshop on Search-Oriented Conversational AI 1, 2017 | 14 | 2017 |
| Ontologically faithful generation of non-player character dialogues N Weir, R Thomas, R D'Amore, K Hill, B Van Durme, H Jhamtani arXiv preprint arXiv:2212.10618, 2022 | 10 | 2022 |
| Tv-trees: Multimodal entailment trees for neuro-symbolic video reasoning K Sanders, N Weir, B Van Durme arXiv preprint arXiv:2402.19467, 2024 | 8 | 2024 |
| Enhancing systematic decompositional natural language inference using informal logic N Weir, K Sanders, O Weller, S Sharma, D Jiang, Z Jiang, BD Mishra, ... arXiv preprint arXiv:2402.14798, 2024 | 8 | 2024 |
| Nellie: A neuro-symbolic inference engine for grounded, compositional, and explainable reasoning N Weir, P Clark, B Van Durme arXiv preprint arXiv:2209.07662, 2022 | 8 | 2022 |
| Dynamic generation of interpretable inference rules in a neuro-symbolic expert system N Weir, B Van Durme arXiv preprint arXiv:2209.07662, 2022 | 8 | 2022 |
| According to.. O Weller, M Marone, N Weir, D Lawrie, D Khashabi, B Van Durme Prompting Language Models Improves Quoting from Pre-Training Data, 2023 | 7 | 2023 |
| InFillmore: Frame-Guided Language Generation with Bidirectional Context J Ou, N Weir, A Belyy, F Yu, B Van Durme arXiv preprint arXiv:2103.04941, 2021 | 7 | 2021 |
| Towards interactive data exploration C Binnig, F Basık, B Buratti, U Cetintemel, Y Chung, A Crotty, C Cousins, ... Real-Time Business Intelligence and Analytics: International Workshops …, 2019 | 6 | 2019 |
| One-Shot Learning from a Demonstration with Hierarchical Latent Language N Weir, X Yuan, MA Côté, M Hausknecht, R Laroche, I Momennejad, ... arXiv preprint arXiv:2203.04806, 2022 | 4 | 2022 |
| Reframing tax law entailment as analogical reasoning X Zou, M Zhang, N Weir, B Van Durme, N Holzenberger arXiv preprint arXiv:2401.06715, 2024 | 3 | 2024 |
| Dynamic generation of grounded logical explanations in a neuro-symbolic expert system N Weir, B Van Durme arXiv preprint arXiv:2209.07662, 2023 | 3 | 2023 |
| Ida Momennejad, Harm Van Seijen, and Benjamin Van Durme N Weir, X Yuan, MA Côté, M Hausknecht, R Laroche One-shot learning from a demonstration with hierarchical latent language …, 2022 | 3 | 2022 |
Benjamin Van DurmeJohns Hopkins University / MicrosoftZweryfikowany adres z jhu.edu