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Yilun Zhou
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2020 – today
- 2024
- [j9]Jianjun She, Zihao Guo
, Zhijian Li
Research on scenario deduction and emergency decision-making evaluation for construction safety accidents. Reliab. Eng. Syst. Saf. 251: 110317 (2024) - [c19]Yujun Mao, Yoon Kim, Yilun Zhou:
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. ACL (Findings) 2024: 13256-13274 - [i25]Yujun Mao, Yoon Kim, Yilun Zhou:
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. CoRR abs/2401.06961 (2024) - [i24]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:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i23]Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao:
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR abs/2407.02646 (2024) - [i22]Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu:
Shared Imagination: LLMs Hallucinate Alike. CoRR abs/2407.16604 (2024) - [i21]Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty:
Direct Judgement Preference Optimization. CoRR abs/2409.14664 (2024) - [i20]Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou, Yixin Mao, Chien-Sheng Wu:
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses. CoRR abs/2410.22349 (2024) - 2023
- [b1]Yilun Zhou:
Techniques for Interpretability and Transparency of Black-Box Models. MIT, USA, 2023 - [c18]Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao:
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). AAAI 2023: 16308-16309 - [c17]Daking Rai
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. ACL (2) 2023: 150-160 - [c16]Yilun Zhou
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. AIES 2023: 248-258 - [c15]Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. EACL (Findings) 2023: 2354-2370 - [i19]Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao:
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). CoRR abs/2301.13820 (2023) - [i18]Yilun Zhou:
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. CoRR abs/2303.11111 (2023) - [i17]Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao:
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques. CoRR abs/2305.17378 (2023) - [i16]Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin:
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations. CoRR abs/2310.11207 (2023) - [i15]Shawn Im, Jacob Andreas, Yilun Zhou:
Evaluating the Utility of Model Explanations for Model Development. CoRR abs/2312.06032 (2023) - 2022
- [j8]Yongjiu Feng
Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation. Int. J. Digit. Earth 15(1): 954-974 (2022) - [j7]Yongjiu Feng
The effects of factor generalization scales on the reproduction of dynamic urban growth. Geo spatial Inf. Sci. 25(3): 457-475 (2022) - [j6]Mycal Tucker
Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. 38(18-20): 1753-1771 (2022) - [c14]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022: 9623-9633 - [c13]Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou:
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. AAMAS 2022: 525-533 - [c12]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. NAACL-HLT 2022: 5359-5378 - [i14]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. CoRR abs/2205.00130 (2022) - [i13]Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. CoRR abs/2205.08696 (2022) - 2021
- [j5]Xinlei Yan
Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering. Int. J. Appl. Earth Obs. Geoinformation 102: 102434 (2021) - [j4]Rong Wang, Yongjiu Feng
A comparison of proximity and accessibility drivers in simulating dynamic urban growth. Trans. GIS 25(2): 923-947 (2021) - [c11]Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah:
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI 2021: 11423-11432 - [c10]Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS 2021: 1486-1494 - [c9]Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRL 2021: 850-860 - [i12]Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR abs/2101.00977 (2021) - [i11]Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou:
State-Visitation Fairness in Average-Reward MDPs. CoRR abs/2102.07120 (2021) - [i10]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? CoRR abs/2104.14403 (2021) - [i9]Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou:
The Irrationality of Neural Rationale Models. CoRR abs/2110.07550 (2021) - 2020
- [i8]Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah:
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR abs/2001.03076 (2020) - [i7]Mycal Tucker, Yilun Zhou, Julie Shah:
Adversarially Guided Self-Play for Adopting Social Conventions. CoRR abs/2001.05994 (2020) - [i6]Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah:
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR abs/2002.10248 (2020) - [i5]Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRR abs/2012.13615 (2020)
2010 – 2019
- 2019
- [c8]Yilun Zhou, Li Chen, Rong Xie, Li Song, Wenjun Zhang:
Low-precision CNN Model Quantization based on Optimal Scaling Factor Estimation. BMSB 2019: 1-5 - [c7]Yilun Zhou, Julie Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI 2019: 50-56 - [c6]Yilun Zhou, Steven Schockaert, Julie Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW 2019: 2460-2471 - [i4]Yilun Zhou, Steven Schockaert, Julie A. Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR abs/1902.07831 (2019) - [i3]Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah:
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR abs/1909.05232 (2019) - [i2]Yilun Zhou, Julie A. Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. CoRR abs/1909.06414 (2019) - 2018
- [j3]Yilun Zhou
Representing, learning, and controlling complex object interactions. Auton. Robots 42(7): 1355-1367 (2018) - [j2]Francesca Boem
Distributed Pareto-optimal state estimation using sensor networks. Autom. 93: 211-223 (2018) - 2017
- [c5]Yilun Zhou, Francesca Boem
Partition-based Pareto-optimal state prediction method for interconnected systems using sensor networks. ACC 2017: 1886-1891 - [c4]Yilun Zhou, Kris Hauser:
Incorporating side-channel information into convolutional neural networks for robotic tasks. ICRA 2017: 2177-2183 - 2016
- [j1]Kris Hauser, Yilun Zhou:
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State-Cost Space. IEEE Trans. Robotics 32(6): 1431-1443 (2016) - [c3]Yilun Zhou, Francesca Boem
Distributed fault detection with sensor networks using pareto-optimal dynamic estimation method. ECC 2016: 728-733 - [c2]Yilun Zhou, George Dimitri Konidaris:
Representing and Learning Complex Object Interactions. Robotics: Science and Systems 2016 - 2015
- [c1]Yilun Zhou, Thomas Parisini, Marios M. Polycarpou
Detection of drift sensor faults in a class of nonlinear uncertain systems. CDC 2015: 3169-3174 - [i1]Kris Hauser, Yilun Zhou:
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space. CoRR abs/1505.04098 (2015)
Coauthor Index
aka: Julie Shah
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last updated on 2024-12-01 01:16 CET by the dblp team
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