Yilun Zhou - RankMe

70 papers A* 9A 2C 2Misc 1Journal 45Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VIBEPASS: Can Vibe Coders Really Pass the Vibe Check? CoRR Srijan Bansal, Jiao Fangkai, Yilun Zhou, Austin Xu, Shafiq Joty, Semih Yavuz
2025	A*	`conf`	All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens. EMNLP Siddarth Mamidanna, Daking Rai, Ziyu Yao, Yilun Zhou
2025	J	`jnl`	All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens. CoRR Siddarth Mamidanna, Daking Rai, Ziyu Yao, Yilun Zhou
2025	A*	`conf`	BingoGuard: LLM Content Moderation Tools with Risk Levels. ICLR Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu
2025	J	`jnl`	BingoGuard: LLM Content Moderation Tools with Risk Levels. CoRR Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu
2025	J	`jnl`	DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence. CoRR Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Kung-Hsiang Huang, Yixin Mao, Chien-Sheng Wu
2025	A*	`conf`	Direct Judgement Preference Optimization. EMNLP Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2025	A*	`conf`	Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators. ICML Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators. CoRR Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains. CoRR Austin Xu, Xuan-Phi Nguyen, Yilun Zhou, Chien-Sheng Wu, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization. CoRR Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	MMPersuade: A Dataset and Evaluation Framework for Multimodal Persuasion. CoRR Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit, Kung-Hsiang Huang, Jiaxin Zhang, Nanyun Peng, Chien-Sheng Wu
2025	J	`jnl`	On the Shelf Life of Fine-Tuned LLM Judges: Future Proofing, Backward Compatibility, and Question Generalization. CoRR Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tur, Shafiq Joty
2025	—	`conf`	Search Engines in the AI Era: A Qualitative Understanding to the False Promise of Factual and Verifiable Source-Cited Responses in LLM-based Search. FAccT Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Yixin Mao, Chien-Sheng Wu
2025	J	`jnl`	Shared Imagination: LLMs Hallucinate Alike. Trans. Mach. Learn. Res. Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu
2025	J	`jnl`	Variation in Verification: Understanding Verification Dynamics in Large Language Models. CoRR Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty
2024	J	`jnl`	A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao
2024	—	`conf`	CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. ACL (Findings) Yujun Mao, Yoon Kim, Yilun Zhou
2024	J	`jnl`	CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. CoRR Yujun Mao, Yoon Kim, Yilun Zhou
2024	J	`jnl`	Direct Judgement Preference Optimization. CoRR Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	Research on scenario deduction and emergency decision-making evaluation for construction safety accidents. Reliab. Eng. Syst. Saf. Jianjun She, Zihao Guo, Zhijian Li, Shuwei Liang, Yilun Zhou
2024	J	`jnl`	Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses. CoRR Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Yixin Mao, Chien-Sheng Wu
2024	J	`jnl`	Shared Imagination: LLMs Hallucinate Alike. CoRR Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu
2023	J	`jnl`	Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations. CoRR Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin
2023	J	`jnl`	Evaluating the Utility of Model Explanations for Model Development. CoRR Shawn Im, Jacob Andreas, Yilun Zhou
2023	A*	`conf`	Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). AAAI Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao
2023	J	`jnl`	Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). CoRR Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao
2023	J	`jnl`	Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques. CoRR Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao
2023	—	`conf`	Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. ACL (2) Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao
2023	C	`conf`	Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. AIES Yilun Zhou
2023	J	`jnl`	Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. CoRR Yilun Zhou
2023	—	`—`	Techniques for Interpretability and Transparency of Black-Box Models Yilun Zhou
2023	—	`conf`	The Solvability of Interpretability Evaluation Metrics. EACL (Findings) Yilun Zhou, Julie Shah
2022	J	`jnl`	Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation. Int. J. Digit. Earth Yongjiu Feng, Yilun Zhou, Yanling Chen, Pengshuo Li, Mengrong Xi, Xiaohua Tong
2022	A*	`conf`	Do Feature Attribution Methods Correctly Attribute Features? AAAI Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2022	—	`conf`	ExSum: From Local Explanations to Model Understanding. NAACL-HLT Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022	J	`jnl`	ExSum: From Local Explanations to Model Understanding. CoRR Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
2022	J	`jnl`	Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. Mycal Tucker, Yilun Zhou, Julie A. Shah
2022	A	`conf`	Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. AAMAS Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
2022	J	`jnl`	The Solvability of Interpretability Evaluation Metrics. CoRR Yilun Zhou, Julie Shah
2022	J	`jnl`	The effects of factor generalization scales on the reproduction of dynamic urban growth. Geo spatial Inf. Sci. Yongjiu Feng, Peiqi Wu, Xiaohua Tong, Pengshuo Li, Rong Wang, Yilun Zhou, Jiafeng Wang, Jinyu Zhao
2021	J	`jnl`	A comparison of proximity and accessibility drivers in simulating dynamic urban growth. Trans. GIS Rong Wang, Yongjiu Feng, Yongliang Wei, Xiaohua Tong, Shuting Zhai, Yilun Zhou, Peiqi Wu
2021	A*	`conf`	Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah
2021	J	`jnl`	Do Feature Attribution Methods Correctly Attribute Features? CoRR Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2021	J	`jnl`	Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering. Int. J. Appl. Earth Obs. Geoinformation 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
2021	Misc	`conf`	RoCUS: Robot Controller Understanding via Sampling. CoRL Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2021	J	`jnl`	State-Visitation Fairness in Average-Reward MDPs. CoRR Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
2021	J	`jnl`	The Irrationality of Neural Rationale Models. CoRR Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
2021	A	`conf`	Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2021	J	`jnl`	Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2020	J	`jnl`	Adversarially Guided Self-Play for Adopting Social Conventions. CoRR Mycal Tucker, Yilun Zhou, Julie Shah
2020	J	`jnl`	Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah
2020	J	`jnl`	RoCUS: Robot Controller Understanding via Sampling. CoRR Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2020	J	`jnl`	Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
2019	—	`conf`	Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI Yilun Zhou, Julie Shah, Steven Schockaert
2019	J	`jnl`	Learning Household Task Knowledge from WikiHow Descriptions. CoRR Yilun Zhou, Julie A. Shah, Steven Schockaert
2019	—	`conf`	Low-precision CNN Model Quantization based on Optimal Scaling Factor Estimation. BMSB Yilun Zhou, Li Chen, Rong Xie, Li Song, Wenjun Zhang
2019	J	`jnl`	On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah
2019	A*	`conf`	Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW Yilun Zhou, Steven Schockaert, Julie Shah
2019	J	`jnl`	Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR Yilun Zhou, Steven Schockaert, Julie A. Shah
2018	J	`jnl`	Distributed Pareto-optimal state estimation using sensor networks. Autom. Francesca Boem, Yilun Zhou, Carlo Fischione, Thomas Parisini
2018	J	`jnl`	Representing, learning, and controlling complex object interactions. Auton. Robots Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris
2017	A*	`conf`	Incorporating side-channel information into convolutional neural networks for robotic tasks. ICRA Yilun Zhou, Kris Hauser
2017	C	`conf`	Partition-based Pareto-optimal state prediction method for interconnected systems using sensor networks. ACC Yilun Zhou, Francesca Boem, Thomas Parisini
2016	J	`jnl`	Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State-Cost Space. IEEE Trans. Robotics Kris Hauser, Yilun Zhou
2016	—	`conf`	Distributed fault detection with sensor networks using pareto-optimal dynamic estimation method. ECC Yilun Zhou, Francesca Boem, Carlo Fischione, Thomas Parisini
2016	—	`conf`	Representing and Learning Complex Object Interactions. Robotics: Science and Systems Yilun Zhou, George Dimitri Konidaris
2015	J	`jnl`	Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space. CoRR Kris Hauser, Yilun Zhou
2015	—	`conf`	Detection of drift sensor faults in a class of nonlinear uncertain systems. CDC Yilun Zhou, Thomas Parisini, Marios M. Polycarpou