Pei Zhou

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Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaDirección de correo verificada de usc.edu
Jay PujaraResearch Associate Professor, University of Southern CaliforniaDirección de correo verificada de cs.umd.edu
Yejin ChoiStanford University / NVIDIADirección de correo verificada de stanford.edu
Dilek Hakkani-TurProfessor of Computer Science, Univ. Illinois Urbana-ChampaignDirección de correo verificada de ieee.org
Yang LiuAmazonDirección de correo verificada de hlt.utdallas.edu
Kai-Wei ChangAssociate Professor, UCLADirección de correo verificada de kwchang.net
Swaroop MishraResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Manaal FaruquiResearch Scientist, MetaDirección de correo verificada de meta.com
Shyam UpadhyayStaff Research Scientist, GoogleDirección de correo verificada de google.com
Chris Callison-BurchProfessor, University of PennsylvaniaDirección de correo verificada de upenn.edu
Prithviraj AmmanabroluAssistant Professor, University of California, San DiegoDirección de correo verificada de ucsd.edu
Denny ZhouResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Quoc V. LeResearch Scientist, GoogleDirección de correo verificada de stanford.edu
Ed H. ChiGoogle DeepMind / Google BrainDirección de correo verificada de acm.org
Longqi YangPrincipal Applied Research Manager, MicrosoftDirección de correo verificada de microsoft.com
Jennifer NevilleMicrosoft Research, Purdue UniversityDirección de correo verificada de microsoft.com
Mengting WanMicrosoftDirección de correo verificada de microsoft.com

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Pei Zhou

Senior Applied Scientist, Microsoft

Dirección de correo verificada de microsoft.com - Página principal

Natural Language Processing Large Language Models Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	391	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	132	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	71*	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	54	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
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	25	2024
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
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
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	18*	2023
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
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	3	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

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