Pei Zhou
University of Southern California
H-index: 11
North America-United States
Top articles of Pei Zhou
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Self-Discover: Large Language Models Self-Compose Reasoning Structures | arXiv preprint arXiv:2402.03620 | Pei Zhou Jay Pujara Xiang Ren Xinyun Chen Heng-Tze Cheng | 2024/2/6 |
Detecting political biases of named entities and hashtags on Twitter | EPJ Data Science | Zhiping Xiao Jeffrey Zhu Yining Wang Pei Zhou Wen Hong Lam | 2023/6/8 |
How FaR Are Large Language Models From Agents with Theory-of-Mind? | arXiv preprint arXiv:2310.03051 | Pei Zhou Aman Madaan Srividya Pranavi Potharaju Aditya Gupta Kevin R McKee | 2023/10/4 |
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons | arXiv preprint arXiv:2212.10060 | Pei Zhou Andrew Zhu Jennifer Hu Jay Pujara Xiang Ren | 2022/12/20 |
AutoMix: Mixing Models with Few-shot Self and Meta Verification | Aman Madaan Pranjal Aggarwal Ankit Anand Srividya Pranavi Potharaju Swaroop Mishra | 2023/12/12 | |
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation | Pei Zhou Karthik Gopalakrishnan Behnam Hedayatnia Seokhwan Kim Jay Pujara | 2022/5 | |
Soda: Million-scale dialogue distillation with social commonsense contextualization | arXiv preprint arXiv:2212.10465 | Hyunwoo Kim Jack Hessel Liwei Jiang Peter West Ximing Lu | 2022/12/20 |
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality | arXiv preprint arXiv:2211.09267 | Pei Zhou Hyundong Cho Pegah Jandaghi Dong-Ho Lee Bill Yuchen Lin | 2022/11/16 |
Go Beyond Plain Fine-Tuning: Improving Pretrained Models for Social Commonsense | Ting-Yun Chang Yang Liu Karthik Gopalakrishnan Behnam Hedayatnia Pei Zhou | 2020 | |
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms | EMNLP 2021 | Pei Zhou Rahul Khanna Bill Yuchen Lin Daniel Ho Xiang Ren | 2020/5/2 |
Commonsense-Focused Dialogues for Response Generation: An Empirical Study | SIGDIAL 2021 | Pei Zhou Karthik Gopalakrishnan Behnam Hedayatnia Seokhwan Kim Jay Pujara | 2021/9/14 |
Incorporating commonsense knowledge graph in pretrained models for social commonsense tasks | Proceedings of DeeLIO, EMNLP 2020 workshop | Ting-Yun Chang Yang Liu Karthik Gopalakrishnan Behnam Hedayatnia Pei Zhou | 2020 |
Probing Commonsense Explanation in Dialogue Response Generation | arXiv preprint arXiv:2104.09574 | Pei Zhou Pegah Jandaghi Bill Yuchen Lin Justin Cho Jay Pujara | 2021/4/19 |
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources | arXiv preprint arXiv:2103.11320 | Ninareh Mehrabi Pei Zhou Fred Morstatter Jay Pujara Xiang Ren | 2021/3/21 |
Co-Authors
