| Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering K Ma, F Ilievski, J Francis, Y Bisk, E Nyberg, A Oltramari AAAI 2021, 2020 | 97 | 2020 |
| Towards generalizable neuro-symbolic systems for commonsense question answering K Ma, J Francis, Q Lu, E Nyberg, A Oltramari EMNLP-COIN 2019, 2019 | 96 | 2019 |
| WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models H He, W Yao, K Ma, W Yu, Y Dai, H Zhang, Z Lan, D Yu ACL 2024, 2024 | 86* | 2024 |
| Dimensions of commonsense knowledge F Ilievski, A Oltramari, K Ma, B Zhang, DL McGuinness, P Szekely Knowledge-Based Systems, 2021 | 86 | 2021 |
| Chain-of-note: Enhancing robustness in retrieval-augmented language models W Yu, H Zhang, X Pan, K Ma, H Wang, D Yu EMNLP 2024, 2023 | 83 | 2023 |
| Open domain question answering with a unified knowledge interface K Ma, H Cheng, X Liu, E Nyberg, J Gao ACL 2022, 2022 | 51* | 2022 |
| ElderReact: a multimodal dataset for recognizing emotional response in aging adults K Ma, X Wang, X Yang, M Zhang, JM Girard, LP Morency 2019 international conference on multimodal interaction, 349-357, 2019 | 49 | 2019 |
| Challenging reading comprehension on daily conversation: Passage completion on multiparty dialog K Ma, T Jurczyk, JD Choi Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 49 | 2018 |
| Dense x retrieval: What retrieval granularity should we use? T Chen, H Wang, S Chen, W Yu, K Ma, X Zhao, D Yu, H Zhang EMNLP 2024, 2023 | 44 | 2023 |
| Neuro-symbolic Architectures for Context Understanding A Oltramari, J Francis, C Henson, K Ma, R Wickramarachchi Knowledge Graphs for eXplainable Artificial Intelligence: Foundations …, 2020 | 41* | 2020 |
| BRAINTEASER: Lateral Thinking Puzzles for Large Language Models Y Jiang, F Ilievski, K Ma, Z Sourati EMNLP 2023, 2023 | 34 | 2023 |
| Laser: Llm agent with state-space exploration for web navigation K Ma, H Zhang, H Wang, X Pan, W Yu, D Yu FMDM@Neurips 2023, 2023 | 32 | 2023 |
| Chain-of-Skills: A Configurable Model for Open-domain Question Answering K Ma, H Cheng, Y Zhang, X Liu, E Nyberg, J Gao ACL 2023, 2023 | 25 | 2023 |
| Semeval-2024 task 9: Brainteaser: A novel task defying common sense Y Jiang, F Ilievski, K Ma SemEval 2024, 2024 | 23 | 2024 |
| Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge K Ma, H Cheng, X Liu, E Nyberg, J Gao EMNLP 2022 (Findings), 2022 | 21 | 2022 |
| Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models K Ma, F Ilievski, J Francis, S Ozaki, E Nyberg, A Oltramari EMNLP 2021, 2021 | 21 | 2021 |
| Coalescing Global and Local Information for Procedural Text Understanding K Ma, F Ilievski, J Francis, E Nyberg, A Oltramari COLING 2022, 2022 | 20 | 2022 |
| Text-based speaker identification on multiparty dialogues using multi-document convolutional neural networks K Ma, C Xiao, JD Choi Proceedings of ACL 2017, Student Research Workshop, 49-55, 2017 | 16 | 2017 |
| Transferring Procedural Knowledge across Commonsense Tasks Y Jiang, F Ilievski, K Ma ECAI 2023, 2023 | 13 | 2023 |
| A Study of Zero-shot Adaptation with Commonsense Knowledge J Zhang, F Ilievski, K Ma, J Francis, A Oltramari AKBC 2022, 2022 | 13* | 2022 |
Alessandro OltramariBosch Center for Artificial Intelligence & Carnegie Bosch Instituteus.bosch.com의 이메일 확인됨