Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review.

Jiayao Zhang 0001 University of Pennsylvania, Philadelphia, PA, USA University of Hong Kong, Hong Kong https://orcid.org/0000-0001-8970-9881 Jiayao Zhang Jiayao Zhang 0002 Hebei University, Baoding, China Jiayao Zhang 0003 Chongqing University of Posts and Telecommunications, Chongqing, China Jiayao Zhang 0004 ShanghaiTech University, Shanghai, China Jiayao Zhang 0005 King Abdullah University of Science and Technology, Saudi Arabia Jiayao Zhang 0006 Zhejiang University, Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province, China https://orcid.org/0009-0006-2956-1006 Jiayao Zhang 0007 Hefei University, College of Artificial Intelligence and Big Data, China Jiayao Zhang 0008 Liaoning Technical University, China Jiayao Zhang 0009 Huazhong University of Science and Technology, Wuhan, China Jiayao Zhang 0010 Jiangsu University, School of Agricultural Engineering, Zhenjiang, China Jiayao Zhang 0011 Shanghai Maritime University, Department of Electrical Engineering, China https://orcid.org/0009-0009-6663-1343 Jiayao Zhang 0012 Xidian University, School of Mechano-Electronic Engineering, Xi'an, China Jiayao Zhang 0013 Xi'an University of Posts & Telecommunications, School of Electronic Engineering, China

Buxin Su Jiayao Zhang 0001 Natalie Collina Yuling Yan Didong Li Kyunghyun Cho Jianqing Fan Aaron Roth 0001 Weijie J. Su Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review. 2026 May abs/2605.25172 CoRR https://doi.org/10.48550/arXiv.2605.25172 db/journals/corr/corr2605.html#abs-2605-25172 streams/journals/corr

Haoyu Wang 0005 Fengze Liu Jiayao Zhang 0001 Dan Roth 0001 Kyle Richardson 0001 Event Causality Identification with Synthetic Control. 2025 September abs/2509.18156 CoRR https://doi.org/10.48550/arXiv.2509.18156 db/journals/corr/corr2509.html#abs-2509-18156 streams/journals/corr

Yanai Elazar Jiayao Zhang 0001 David Wadden Bo Zhang Noah A. Smith Estimating the Causal Effect of Early ArXiving on Paper Acceptance. 913-933 2024 CLeaR https://proceedings.mlr.press/v236/elazar24a.html conf/clear2/2024 db/conf/clear2/clear2024.html#Elazar0WZS24 Haoyu Wang 0005 Fengze Liu Jiayao Zhang 0001 Dan Roth 0001 Kyle Richardson 0001 Event Causality Identification with Synthetic Control. 1725-1737 2024 EMNLP https://doi.org/10.18653/v1/2024.emnlp-main.103 https://aclanthology.org/2024.emnlp-main.103 conf/emnlp/2024 db/conf/emnlp/emnlp2024.html#0005L0R024

Buxin Su Jiayao Zhang 0001 Natalie Collina Yuling Yan Didong Li Kyunghyun Cho Jianqing Fan Aaron Roth 0001 Weijie J. Su Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning? 2024 abs/2408.13430 CoRR https://doi.org/10.48550/arXiv.2408.13430 db/journals/corr/corr2408.html#abs-2408-13430 streams/journals/corr

Zhaowei Wang 0003 Quyet V. Do Hongming Zhang 0009 Jiayao Zhang 0001 Weiqi Wang 0001 Tianqing Fang Yangqiu Song Ginny Y. Wong Simon See COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. 5253-5271 2023 ACL (1) https://doi.org/10.18653/v1/2023.acl-long.288 https://aclanthology.org/2023.acl-long.288 https://www.wikidata.org/entity/Q131458297 conf/acl/2023-1 db/conf/acl/acl2023-1.html#0003DZ0WFSWS23 Zhun Deng Jiayao Zhang 0001 Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 0001 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. 2023 ICLR https://openreview.net/forum?id=zVrw4OH1Lch conf/iclr/2023 db/conf/iclr/iclr2023.html#Deng0ZYCS023

Zhaowei Wang 0003 Quyet V. Do Hongming Zhang 0009 Jiayao Zhang 0001 Weiqi Wang 0001 Tianqing Fang Yangqiu Song Ginny Y. Wong Simon See COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective. 2023 abs/2305.05191 CoRR https://doi.org/10.48550/arXiv.2305.05191 db/journals/corr/corr2305.html#abs-2305-05191

Yanai Elazar Jiayao Zhang 0001 David Wadden Bo Zhang Noah A. Smith Estimating the Causal Effect of Early ArXiving on Paper Acceptance. 2023 abs/2306.13891 CoRR https://doi.org/10.48550/arXiv.2306.13891 db/journals/corr/corr2306.html#abs-2306-13891

Bo Zhang Jiayao Zhang 0001 Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. 1026-1036 2022 CLeaR https://proceedings.mlr.press/v177/zhang22b.html conf/clear2/2022 db/conf/clear2/clear2022.html#ZhangZ22 Jiayao Zhang 0001 Hongming Zhang 0009 Weijie J. Su Dan Roth 0001 ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. 26750-26771 2022 ICML https://proceedings.mlr.press/v162/zhang22am.html conf/icml/2022 db/conf/icml/icml2022.html#0001ZSR22

Jiayao Zhang 0001 Hongming Zhang 0009 Dan Roth 0001 Weijie J. Su Causal Inference Principles for Reasoning about Commonsense Causality. 2022 abs/2202.00436 CoRR https://arxiv.org/abs/2202.00436 db/journals/corr/corr2202.html#abs-2202-00436

Bo Zhang Jiayao Zhang 0001 Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. 2022 abs/2202.00848 CoRR https://arxiv.org/abs/2202.00848 db/journals/corr/corr2202.html#abs-2202-00848

Zhun Deng Jiayao Zhang 0001 Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 0001 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. 2022 abs/2206.02792 CoRR https://doi.org/10.48550/arXiv.2206.02792 db/journals/corr/corr2206.html#abs-2206-02792

Jiayao Zhang 0001 Hongming Zhang 0009 Zhun Deng Dan Roth 0001 Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. 2022 abs/2211.06398 CoRR https://doi.org/10.48550/arXiv.2211.06398 db/journals/corr/corr2211.html#abs-2211-06398

Jiayao Zhang 0001 Hua Wang Weijie J. Su Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. 6392-6403 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/327af0f71f7acdfd882774225f04775f-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#ZhangWS21

Jiayao Zhang 0001 Hua Wang Weijie J. Su Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations. 2021 abs/2110.05960 CoRR https://arxiv.org/abs/2110.05960 db/journals/corr/corr2110.html#abs-2110-05960

Yuqing Du Guangxu Zhu Jiayao Zhang 0001 Kaibin Huang Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. 6031-6046 2018 66 IEEE Trans. Signal Process. 22 https://doi.org/10.1109/TSP.2018.2873542 https://www.wikidata.org/entity/Q129149946 db/journals/tsp/tsp66.html#DuZZH18

Yuqing Du Guangxu Zhu Jiayao Zhang 0001 Kaibin Huang Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. 1-6 2018 GLOBECOM https://doi.org/10.1109/GLOCOM.2018.8647678 conf/globecom/2018 db/conf/globecom/globecom2018.html#DuZZH18

Yuqing Du Guangxu Zhu Jiayao Zhang 0001 Kaibin Huang Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). 2018 abs/1804.03593 CoRR http://arxiv.org/abs/1804.03593 db/journals/corr/corr1804.html#abs-1804-03593

Jiayao Zhang 0001 Guangxu Zhu Robert W. Heath Jr. Kaibin Huang Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning. 2018 abs/1808.02229 CoRR http://arxiv.org/abs/1808.02229 db/journals/corr/corr1808.html#abs-1808-02229

Kyunghyun Cho Yates Coley Natalie Collina Zhun Deng Quyet V. Do Yuqing Du Yanai Elazar Jianqing Fan Tianqing Fang Robert W. Heath Jr. Kaibin Huang Didong Li Fengze Liu Kyle Richardson 0001 Aaron Roth 0001 Dan Roth 0001 Simon See Noah A. Smith Yangqiu Song Buxin Su Weijie J. Su Dave WaddenDavid Wadden Haoyu Wang 0005 Hua Wang Weiqi Wang 0001 Zhaowei Wang 0003 Ginny Y. Wong Yuling Yan Ting Ye Bo Zhang Hongming Zhang 0009 Linjun Zhang Guangxu Zhu James Zou 0001