Zhou, Yilun

10 publications

ICLR 2025 BingoGuard: LLM Content Moderation Tools with Risk Levels Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu

ICML 2025 Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty

TMLR 2025 Shared Imagination: LLMs Hallucinate Alike Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu

NeurIPSW 2023 CHAMP: A Competition-Level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities Yujun Mao, Yoon Kim, Yilun Zhou

AAAI 2023 Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract) Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao

AAAI 2022 Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah

AISTATS 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

AAAI 2021 Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah

NeurIPSW 2021 Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou, Serena Booth, Marco Tulio Ribeiro, Julie Shah

CoRL 2021 RoCUS: Robot Controller Understanding via Sampling Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah