| CommonGen: A constrained text generation challenge for generative commonsense reasoning BY Lin, W Zhou, M Shen, P Zhou, C Bhagavatula, Y Choi, X Ren EMNLP 2020, 2019 | 387 | 2019 |
| Examining Gender Bias in Languages with Grammatical Gender P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang EMNLP-IJCNLP 2019, 2019 | 131 | 2019 |
| Soda: Million-scale dialogue distillation with social commonsense contextualization H Kim, J Hessel, L Jiang, P West, X Lu, Y Yu, P Zhou, RL Bras, M Alikhani, ... arXiv preprint arXiv:2212.10465, 2022 | 126 | 2022 |
| Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation P Zhou, K Gopalakrishnan, B Hedayatnia, S Kim, J Pujara, X Ren, Y Liu, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 69* | 2022 |
| How FaR Are Large Language Models From Agents with Theory-of-Mind? P Zhou, A Madaan, SP Potharaju, A Gupta, KR McKee, A Holtzman, ... arXiv preprint arXiv:2310.03051, 2023 | 52 | 2023 |
| Commonsense-Focused Dialogues for Response Generation: An Empirical Study P Zhou, K Gopalakrishnan, B Hedayatnia, S Kim, J Pujara, X Ren, Y Liu, ... SIGDIAL 2021, 2021 | 51 | 2021 |
| Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources N Mehrabi*, P Zhou*, F Morstatter, J Pujara, X Ren, A Galstyan EMNLP 2021, 2021 | 43 | 2021 |
| Incorporating commonsense knowledge graph in pretrained models for social commonsense tasks TY Chang, Y Liu, K Gopalakrishnan, B Hedayatnia, P Zhou, ... arXiv preprint arXiv:2105.05457, 2021 | 42 | 2021 |
| RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms P Zhou, R Khanna, S Lee, BY Lin, D Ho, J Pujara, X Ren Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 41* | 2021 |
| I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons P Zhou, A Zhu, J Hu, J Pujara, X Ren, C Callison-Burch, Y Choi, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 35* | 2023 |
| Retrofitting contextualized word embeddings with paraphrases W Shi, M Chen, P Zhou, KW Chang EMNLP-IJCNLP 2019, 2019 | 33 | 2019 |
| Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality P Zhou, H Cho, P Jandaghi, DH Lee, BY Lin, J Pujara, X Ren arXiv preprint arXiv:2211.09267, 2022 | 24 | 2022 |
| Self-Discover: Large Language Models Self-Compose Reasoning Structures P Zhou, J Pujara, X Ren, X Chen, HT Cheng, QV Le, EH Chi, D Zhou, ... NeurIPS 2024, 2024 | 22 | 2024 |
| Detecting political biases of named entities and hashtags on Twitter Z Xiao, J Zhu, Y Wang, P Zhou, WH Lam, MA Porter, Y Sun EPJ Data Science 12 (1), 20, 2023 | 20 | 2023 |
| Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs. M Chen, T Zhou, P Zhou, C Zaniolo AKBC@ NIPS, 2017 | 19 | 2017 |
| Probing Commonsense Explanation in Dialogue Response Generation P Zhou, P Jandaghi, BY Lin, J Cho, J Pujara, X Ren EMNLP 2021 Findings, 2021 | 18 | 2021 |
| AutoMix: Mixing Models with Few-shot Self and Meta Verification A Madaan, P Aggarwal, A Anand, SP Potharaju, S Mishra, P Zhou, ... NeurIPS 2024, 2023 | 15* | 2023 |
| WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback T Shi, Z Wang, L Yang, YC Lin, Z He, M Wan, P Zhou, S Jauhar, X Xu, ... arXiv preprint arXiv:2408.15549, 2024 | 2 | 2024 |
| InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context Z Liu, A Anand, P Zhou, J Huang, J Zhao arXiv preprint arXiv:2406.12203, 2024 | 2 | 2024 |
| Quantification and Analysis of Scientific Language Variation Across Research Fields P Zhou, M Chen, KW Chang, C Zaniolo 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 199-203, 2018 | 2 | 2018 |
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaBestätigte E-Mail-Adresse bei usc.edu
