Fairness in Clustering with Multiple Sensitive Attributes SS Abraham, D P, SS Sundaram arXiv preprint arXiv:1910.05113, 2019 | 52 | 2019 |
Natural Language Processing for Solving Simple Word Problems SS Sundaram, D Khemani Proceedings of the 12th International Conference on Natural Language …, 2015 | 37 | 2015 |
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers SS Sundaram, S Gurajada, M Fisichella, SS Abraham arXiv preprint arXiv:2205.15683, 2022 | 8 | 2022 |
Semantic Representation for Age Word Problems with Schemas SS Sundaram, SS Abraham New Generation Computing 37, 429-452, 2019 | 4 | 2019 |
Distributed Representations for Arithmetic Word Problems SS Sundaram, D P, SS Abraham AAAI 2020, 2020 | 3 | 2020 |
Solving simple arithmetic word problems precisely with schemas SS Sundaram, SS Abraham Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018 | 2 | 2018 |
Making Metadata More FAIR Using Large Language Models SS Sundaram, MA Musen arXiv preprint arXiv:2307.13085, 2023 | 1 | 2023 |
An ontology-based kinematics problem solver using qualitative and quantitative knowledge SS Abraham, SS Sundaram New Generation Computing 37, 551-584, 2019 | 1 | 2019 |
Combining Qualitative and Quantitative Reasoning for Solving Kinematics Word Problems SS Abraham, SS Sundaram The Thirty-First International Flairs Conference, 2018 | 1 | 2018 |
Can a Hallucinating Model help in Reducing Human" Hallucination"? SS Sundaram, B Alwar arXiv preprint arXiv:2405.00843, 2024 | | 2024 |
Use of a Structured Knowledge Base Enhances Metadata Curation by Large Language Models SS Sundaram, B Solomon, A Khatri, A Laumas, P Khatri, MA Musen arXiv preprint arXiv:2404.05893, 2024 | | 2024 |
Does a language model “understand” high school math? A survey of deep learning based word problem solvers SS Sundaram, S Gurajada, D Padmanabhan, SS Abraham, M Fisichella Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1534, 2024 | | 2024 |
GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning S Roy, J Wallat, SS Sundaram, W Nejdl, N Ganguly arXiv preprint arXiv:2307.15933, 2023 | | 2023 |
FiSH: fair spatial hot spots SS Sundaram Data Mining and Knowledge Discovery 37 (4), 1374-1403, 2023 | | 2023 |
Span Detection for Kinematics Word Problems SS Abraham, D P, SS Sundaram Neural Information Processing: 29th International Conference, ICONIP 2022 …, 2023 | | 2023 |
FiSH: fair spatial hot spots P Deepak, SS Sundaram Data Mining and Knowledge Discovery, 1, 2022 | | 2022 |
PMI-guided Masking Strategy to Enable Few-shot Learning for Genomic Applications S Roy, J Wallat, SS Sundaram, N Ganguly | | 2022 |
Representing Arithmetic Word Problems using Schemas SS Sundaram PhD Thesis, 2020 | | 2020 |
Reasoning with Sets to Solve Simple Word Problems Automatically SS Sundaram, D Khemani 14th International Conference on Natural Language Processing (ICON-2017), 2017 | | 2017 |