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Pei Zhou
Pei Zhou
Senior Applied Scientist, Microsoft
Verifisert e-postadresse på microsoft.com - Startside
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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
3822019
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
1302019
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
1202022
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
68*2022
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
492021
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
462023
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
422021
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
412021
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
39*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
332019
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
242022
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
202024
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
202023
Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs.
M Chen, T Zhou, P Zhou, C Zaniolo
AKBC@ NIPS, 2017
192017
Probing Commonsense Explanation in Dialogue Response Generation
P Zhou, P Jandaghi, BY Lin, J Cho, J Pujara, X Ren
EMNLP 2021 Findings, 2021
172021
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
11*2023
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
22024
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
22018
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
12024
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