Anqi Liu - RankMe

84 papers A* 16A 4C 1Misc 1Journal 53Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Policy Control. CoRR Drew Prinster, Clara Fannjiang, Ji Won Park, Kyunghyun Cho, Anqi Liu, Suchi Saria, Samuel Stanton
2026	A*	`conf`	OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. AAAI Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2026	A*	`conf`	Reframing Conversational Design in HRI: Deliberate Design with AI Scaffolds. HRI Shiye Cao, Jiwon Moon, Yifan Xu, Anqi Liu, Chien-Ming Huang
2026	J	`jnl`	Reframing Conversational Design in HRI: Deliberate Design with AI Scaffolds. CoRR Shiye Cao, Jiwon Moon, Yifan Xu, Anqi Liu, Chien-Ming Huang
2025	J	`jnl`	Always Tell Me The Odds: Fine-grained Conditional Probability Estimation. CoRR Liaoyaqi Wang, Zhengping Jiang, Anqi Liu, Benjamin Van Durme
2025	J	`jnl`	Analyzing Political Text at Scale with Online Tensor LDA. CoRR Sara Kangaslahti, Danny Ebanks, Jean Kossaifi, Anqi Liu, R. Michael Alvarez, Animashree Anandkumar
2025	J	`jnl`	Calibrated Uncertainty Sampling for Active Learning. CoRR Ha Manh Bui, Iliana Maifeld-Carucci, Anqi Liu
2025	J	`jnl`	Conformal Linguistic Calibration: Trading-off between Factuality and Specificity. CoRR Zhengping Jiang, Anqi Liu, Benjamin Van Durme
2025	—	`conf`	Core: Robust Factual Precision with Informative Sub-Claim Identification. ACL (Findings) Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme
2025	J	`jnl`	Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field Study. CoRR Jiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu
2025	J	`jnl`	Genomic Next-Token Predictors are In-Context Learners. CoRR Nathan Breslow, Aayush Mishra, Mahler Revsine, Michael C. Schatz, Anqi Liu, Daniel Khashabi
2025	J	`jnl`	Group-Sensitive Offline Contextual Bandits. CoRR Yihong Guo, Junjie Luo, Gordon Gao, Ritu Agarwal, Anqi Liu
2025	J	`jnl`	IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning. CoRR Aayush Mishra, Daniel Khashabi, Anqi Liu
2025	J	`jnl`	ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers. CoRR Zhouxiang Fang, Aayush Mishra, Muhan Gao, Anqi Liu, Daniel Khashabi
2025	J	`jnl`	Improving Coverage in Combined Prediction Sets with Weighted p-values. CoRR Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa, Anqi Liu
2025	J	`jnl`	Interruption Handling for Conversational Robots. CoRR Shiye Cao, Jiwon Moon, Amama Mahmood, Victor Nikhil Antony, Ziang Xiao, Anqi Liu, Chien-Ming Huang
2025	J	`jnl`	MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning. CoRR Yihong Guo, Yu Yang, Pan Xu, Anqi Liu
2025	J	`jnl`	OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. CoRR Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025	J	`jnl`	On the challenges of detecting MCI using EEG in the wild. CoRR Aayush Mishra, David Joffe, Sankara Surendra Telidevara, David S. Oakley, Anqi Liu
2025	J	`jnl`	PAME-AI: Patient Messaging Creation and Optimization using Agentic AI. CoRR Junjie Luo, Yihong Guo, Anqi Liu, Ritu Agarwal, Guodong Gordon Gao
2025	J	`jnl`	Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning. CoRR Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu
2025	J	`jnl`	Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction. CoRR Kevin He, David Adam, Sarah Han-Oh, Anqi Liu
2025	A	`conf`	Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits. AISTATS Ha Manh Bui, Enrique Mallada, Anqi Liu
2025	A*	`conf`	WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. ICML Drew Prinster, Xing Han, Anqi Liu, Suchi Saria
2025	J	`jnl`	WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. CoRR Drew Prinster, Xing Han, Anqi Liu, Suchi Saria
2024	A*	`conf`	ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
2024	J	`jnl`	Addressing the Binning Problem in Calibration Assessment through Scalar Annotations. Trans. Assoc. Comput. Linguistics Zhengping Jiang, Anqi Liu, Benjamin Van Durme
2024	A*	`conf`	Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). ICML Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria
2024	J	`jnl`	Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). CoRR Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria
2024	J	`jnl`	Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. CoRR Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme
2024	J	`jnl`	Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making. CoRR Shiye Cao, Anqi Liu, Chien-Ming Huang
2024	J	`jnl`	Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making. Proc. ACM Hum. Comput. Interact. Shiye Cao, Anqi Liu, Chien-Ming Huang
2024	J	`jnl`	Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits. CoRR Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
2024	—	`conf`	Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. AIED Companion (2) Kelun Lu, Lingxin Hao, I-Jeng Wang, Anqi Liu
2024	J	`jnl`	Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation. CoRR Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu
2024	—	`conf`	RORA: Robust Free-Text Rationale Evaluation. ACL (1) Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
2024	J	`jnl`	RORA: Robust Free-Text Rationale Evaluation. CoRR Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
2024	C	`conf`	Responsible MLOps Design Methodology for an Auditing System for AI-Based Clinical Decision Support Systems. ICTSS Pepita Barnard, John Robert Bautista, Aidan Dakhama, Arya Farahi, Kazim Laos, Anqi Liu, Héctor D. Menéndez
2024	J	`jnl`	SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning. CoRR Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu
2024	A*	`conf`	SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking. NeurIPS Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu
2024	J	`jnl`	Towards Human-Compatible Autonomous Car: A Study of Non-Verbal Turing Test in Automated Driving With Affective Transition Modelling. IEEE Trans. Affect. Comput. Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku
2024	J	`jnl`	Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits. CoRR Ha Manh Bui, Enrique Mallada, Anqi Liu
2024	J	`jnl`	Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. CoRR Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu
2024	J	`jnl`	Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. Trans. Mach. Learn. Res. Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu
2023	—	`conf`	A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova
2023	J	`jnl`	Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts. CoRR Ha Manh Bui, Anqi Liu
2023	A	`conf`	Distributionally Robust Policy Gradient for Offline Contextual Bandits. AISTATS Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar
2023	—	`conf`	Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. COPA Drew Prinster, Suchi Saria, Anqi Liu
2023	A*	`conf`	JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. ICML Drew Prinster, Suchi Saria, Anqi Liu
2023	A*	`conf`	Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
2023	J	`jnl`	MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme
2022	A*	`conf`	Ambiguous Images With Human Judgments for Robust Visual Event Classification. NeurIPS Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
2022	J	`jnl`	Ambiguous Images With Human Judgments for Robust Visual Event Classification. CoRR Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
2022	A*	`conf`	Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. EMNLP Zhengping Jiang, Anqi Liu, Benjamin Van Durme
2022	A*	`conf`	JAWS: Auditing Predictive Uncertainty Under Covariate Shift. NeurIPS Drew Prinster, Anqi Liu, Suchi Saria
2022	J	`jnl`	JAWS: Predictive Inference Under Covariate Shift. CoRR Drew Prinster, Anqi Liu, Suchi Saria
2022	J	`jnl`	Repeated Environment Inference for Invariant Learning. CoRR Aayush Mishra, Anqi Liu
2022	J	`jnl`	Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. CoRR Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku
2021	A	`conf`	Active Learning under Label Shift. AISTATS Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
2021	J	`jnl`	Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2021	J	`jnl`	Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. CoRR Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar
2021	A*	`conf`	Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. KDD Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
2021	J	`jnl`	Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. CoRR Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
2021	A*	`conf`	Robust Fairness Under Covariate Shift. AAAI Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart
2020	J	`jnl`	Active Learning under Label Shift. CoRR Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
2020	J	`jnl`	Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
2020	J	`jnl`	Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
2020	J	`jnl`	Robust Fairness under Covariate Shift. CoRR Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart
2020	—	`conf`	Robust Regression for Safe Exploration in Control. L4DC Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
2019	A*	`conf`	Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ICML Sima Behpour, Anqi Liu, Brian D. Ziebart
2019	J	`jnl`	Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. CoRR Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar
2019	—	`conf`	Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
2019	J	`jnl`	Regularized Learning for Domain Adaptation under Label Shifts. CoRR Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
2019	J	`jnl`	Robust Regression for Safe Exploration in Control. CoRR Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
2019	J	`jnl`	Triply Robust Off-Policy Evaluation. CoRR Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue
2018	J	`jnl`	Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
2017	J	`jnl`	Kernel Robust Bias-Aware Prediction under Covariate Shift. CoRR Anqi Liu, Rizal Fathony, Brian D. Ziebart
2017	J	`jnl`	Robust Covariate Shift Prediction with General Losses and Feature Views. CoRR Anqi Liu, Brian D. Ziebart
2016	—	`conf`	Adversarial Multiclass Classification: A Risk Minimization Perspective. NIPS Rizal Fathony, Anqi Liu, Kaiser Asif, Brian D. Ziebart
2016	A	`conf`	Robust Covariate Shift Regression. AISTATS Xiangli Chen, Mathew Monfort, Anqi Liu, Brian D. Ziebart
2015	Misc	`conf`	Context Retrieval for Web Tables. ICTIR Hong Wang, Anqi Liu, Jing Wang, Brian D. Ziebart, Clement T. Yu, Warren Shen
2015	A*	`conf`	Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation. AAAI Mathew Monfort, Anqi Liu, Brian D. Ziebart
2015	A*	`conf`	Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction. AAAI Anqi Liu, Lev Reyzin, Brian D. Ziebart
2014	—	`conf`	Robust Classification Under Sample Selection Bias. NIPS Anqi Liu, Brian D. Ziebart