| Counseling-style reflection generation using generative pretrained transformers with augmented context S Shen, C Welch, R Mihalcea, V Pérez-Rosas Proceedings of the 21th Annual Meeting of the Special Interest Group on …, 2020 | 41 | 2020 |
| CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues D Ghosal, S Shen, N Majumder, R Mihalcea, S Poria Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 34 | 2022 |
| Expressive interviewing: A conversational system for coping with COVID-19 C Welch, A Lahnala, V Perez-Rosas, S Shen, S Seraj, L An, K Resnicow, ... Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 29 | 2020 |
| Knowledge enhanced reflection generation for counseling dialogues S Shen, V Pérez-Rosas, C Welch, S Poria, R Mihalcea Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 19 | 2022 |
| CIDER: Commonsense inference for dialogue explanation and reasoning D Ghosal, P Hong, S Shen, N Majumder, R Mihalcea, S Poria Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 19 | 2021 |
| A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models O Ignat, Z Jin, A Abzaliev, L Biester, S Castro, N Deng, X Gao, A Gunal, ... arXiv preprint arXiv:2305.12544, 2023 | 12 | 2023 |
| Multiview contextual commonsense inference: A new dataset and task S Shen, D Ghosal, N Majumder, H Lim, R Mihalcea, S Poria arXiv preprint arXiv:2210.02890, 2022 | 8 | 2022 |
| Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense S Shen, L Logeswaran, M Lee, H Lee, S Poria, R Mihalcea arXiv preprint arXiv:2405.04655, 2024 | | 2024 |
| The Generation Gap: Exploring Age Bias in Large Language Models S Liu, T Maturi, S Shen, R Mihalcea arXiv preprint arXiv:2404.08760, 2024 | | 2024 |
| Quantum and Quantum-inspired Recommendation System Algorithms S Shen Ann Arbor 1001, 48105, 0 | | |
