Yilun Zhou

According to our database, Yilun Zhou authored at least 36 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities.

Yujun Mao, Yoon Kim, Yilun Zhou

CoRR, 2024

2023

Evaluating the Utility of Model Explanations for Model Development.

Shawn Im, Jacob Andreas, Yilun Zhou

CoRR, 2023

Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations.

Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin

CoRR, 2023

The Solvability of Interpretability Evaluation Metrics.

Yilun Zhou, Julie Shah

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks.

Yilun Zhou

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques.

Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract).

Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation.

Yongjiu Feng, Yilun Zhou, Yanling Chen, Pengshuo Li, Mengrong Xi, Xiaohua Tong

Int. J. Digit. Earth, December, 2022

Latent Space Alignment Using Adversarially Guided Self-Play.

Mycal Tucker, Yilun Zhou, Julie A. Shah

Int. J. Hum. Comput. Interact., 2022

The effects of factor generalization scales on the reproduction of dynamic urban growth.

Yongjiu Feng, Peiqi Wu, Xiaohua Tong, Pengshuo Li, Rong Wang, Yilun Zhou, Jiafeng Wang, Jinyu Zhao

Geo spatial Inf. Sci., 2022

ExSum: From Local Explanations to Model Understanding.

Yilun Zhou, Marco Túlio Ribeiro, Julie Shah

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Do Feature Attribution Methods Correctly Attribute Features?

Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A comparison of proximity and accessibility drivers in simulating dynamic urban growth.

Rong Wang, Yongjiu Feng, Yongliang Wei, Xiaohua Tong, Shuting Zhai, Yilun Zhou, Peiqi Wu

Trans. GIS, 2021

The Irrationality of Neural Rationale Models.

Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou

CoRR, 2021

State-Visitation Fairness in Average-Reward MDPs.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

CoRR, 2021

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms.

Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

CoRR, 2021

Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering.

Xinlei Yan, Yongjiu Feng, Xiaohua Tong, Pengshuo Li, Yilun Zhou, Peiqi Wu, Huan Xie, Yanming Jin, Peng Chen, Shijie Liu, Xiong Xv, Sicong Liu, Chao Wang

Int. J. Appl. Earth Obs. Geoinformation, 2021

RoCUS: Robot Controller Understanding via Sampling.

Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms.

Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example.

Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets.

Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah

CoRR, 2020

Adversarially Guided Self-Play for Adopting Social Conventions.

Mycal Tucker, Yilun Zhou, Julie Shah

CoRR, 2020

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.

Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah

CoRR, 2020

2019

On Memory Mechanism in Multi-Agent Reinforcement Learning.

Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah

CoRR, 2019

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness.

Yilun Zhou, Steven Schockaert, Julie Shah

Proceedings of the World Wide Web Conference, 2019

Learning Household Task Knowledge from WikiHow Descriptions.

Yilun Zhou, Julie Shah, Steven Schockaert

Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Low-precision CNN Model Quantization based on Optimal Scaling Factor Estimation.

Yilun Zhou, Li Chen, Rong Xie, Li Song, Wenjun Zhang

Proceedings of the 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2019

2018

Distributed Pareto-optimal state estimation using sensor networks.

Francesca Boem, Yilun Zhou, Carlo Fischione, Thomas Parisini

Autom., 2018

Representing, learning, and controlling complex object interactions.

Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris

Auton. Robots, 2018

2017

Incorporating side-channel information into convolutional neural networks for robotic tasks.

Yilun Zhou, Kris Hauser

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Partition-based Pareto-optimal state prediction method for interconnected systems using sensor networks.

Yilun Zhou, Francesca Boem, Thomas Parisini

Proceedings of the 2017 American Control Conference, 2017

2016

Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State-Cost Space.

Kris Hauser, Yilun Zhou

IEEE Trans. Robotics, 2016

Representing and Learning Complex Object Interactions.

Yilun Zhou, George Dimitri Konidaris

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Distributed fault detection with sensor networks using pareto-optimal dynamic estimation method.

Yilun Zhou, Francesca Boem, Carlo Fischione, Thomas Parisini

Proceedings of the 15th European Control Conference, 2016

2015

Detection of drift sensor faults in a class of nonlinear uncertain systems.

Yilun Zhou, Thomas Parisini, Marios M. Polycarpou

Proceedings of the 54th IEEE Conference on Decision and Control, 2015