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Author

Yilun Zhou

Observed names: Zhou, Y, Zhou, Yilun
Observed institutions: Dartmouth College, Duke University, University of California, Santa Cruz, Salesforce (United States), MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
ORCID: 0000-0002-7085-3880
Observed ORCID: 0000-0002-7085-3880
OpenAlex ID: A5074749353
Do Feature Attribution Methods Correctly Attribute Features?
2022 · Yilun Zhou, Serena Booth, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 109
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State–Cost Space
2016 · Kris Hauser, Yilun Zhou · IEEE Transactions on Robotics · 81
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
2023 · Huang, Shiyuan, Mamidanna, Siddarth, et al. · arXiv (Cornell University) · 21
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Learning Household Task Knowledge from WikiHow Descriptions
2019 · Zhou, Yilun, Shah, Julie A., et al. · arXiv (Cornell University) · 20
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Search Engines in the AI Era: A Qualitative Understanding to the False Promise of Factual and Verifiable Source-Cited Responses in LLM-based Search
2025 · Pranav Narayanan Venkit, Philippe Laban, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 18
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Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques
2023 · Daking Rai, Bailin Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 16
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Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
2021 · Serena Booth, Yilun Zhou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14
ExSum: From Local Explanations to Model Understanding
2022 · Yilun Zhou, Marco Tulio Ribeiro, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 12
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A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
2024 · Rai, Daking, Zhou, Yilun, et al. · arXiv (Cornell University) · 11
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The Irrationality of Neural Rationale Models
2022 · Yiming Zheng, Serena Booth, et al. · Workshop on Trustworthy Natural Language Processing (TrustNLP) · 11
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Incorporating side-channel information into convolutional neural networks for robotic tasks
2017 · Yilun Zhou, Kris Hauser · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 11
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness
2019 · Yilun Zhou, Steven Schockaert, et al. · International World Wide Web Conference (WWW) · 9
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CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs’ Mathematical Reasoning Capabilities
2024 · Yujun Mao, Yoon Kim, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 8
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RoCUS: Robot Controller Understanding via Sampling
2020 · Zhou, Yilun, Booth, Serena, et al. · arXiv (Cornell University) · 5
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Adversarially Guided Self-Play for Adopting Social Conventions
2020 · Tucker, Mycal, Zhou, Yilun, et al. · arXiv (Cornell University) · 5
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Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
2020 · Zhou, Yilun, Renduchintala, Adithya, et al. · arXiv (Cornell University) · 4
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Latent Space Alignment Using Adversarially Guided Self-Play
2022 · Mycal Tucker, Yilun Zhou, et al. · International Journal of Human-Computer Interaction · 3
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Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment
2021 · Ghalme, Ganesh, Nair, Vineet, et al. · arXiv (Cornell University) · 3
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Bayes-TrEx: Model Transparency by Example
2020 · Serena Booth, Yilun Zhou, et al. · arXiv (Cornell University) · 3
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
2024 · Venkit, Pranav Narayanan, Laban, Philippe, et al. · arXiv (Cornell University) · 2
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MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases
2024 · Murthy, Rithesh, Yang, Liangwei, et al. · arXiv (Cornell University) · 2
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Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
2023 · Daking Rai, Yilun Zhou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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The Solvability of Interpretability Evaluation Metrics
2023 · Yilun Zhou, Julie Shah · Findings of the Association for Computational Linguistics: EACL · 2
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Direct Judgement Preference Optimization
2025 · PeiFeng Wang, Austin Xu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Direct Judgement Preference Optimization
2024 · Wang, Peifeng, Xu, Austin, et al. · arXiv (Cornell University) · 1
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Works count: 65
Citation count: 383
H-index: 11
I10-index: 11
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