Patrick Liu - RankMe

16 papers A* 3C 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spatial Reasoning is Not a Free Lunch: A Controlled Study on LLaVA. CoRR Nahid Alam, Leema Krishna Murali, Siddhant Bharadwaj, Patrick Liu, Timothy Chung, Drishti Sharma, Akshata A, Kranthi Kiran, Wesley Tam, Bala Krishna S. Vegesna
2026	J	`jnl`	The Spatial Blindspot of Vision-Language Models. CoRR Nahid Alam, Leema Krishna Murali, Siddhant Bharadwaj, Patrick Liu, Timothy Chung, Drishti Sharma, Akshata A, Kranthi Kiran, Wesley Tam, Bala Krishna S. Vegesna
2024	A*	`conf`	DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
2023	J	`jnl`	DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
2022	A*	`conf`	Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. EMNLP Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
2022	J	`jnl`	Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. CoRR Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
2022	—	`conf`	GLARE: Generative Left-to-right AdversaRial Examples. Eval4NLP Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi
2022	C	`conf`	MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency. BIBE Patrick Liu, Saarang Panchavati, Mara Pleasure, Nathan Siu, Clemence Bonnet, Sophie Deng, Corey W. Arnold, William Speier
2022	A*	`conf`	SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. NeurIPS Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
2022	J	`jnl`	SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. CoRR Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon
2022	—	`conf`	Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility. SemEval@NAACL Thomas Yim, Junha Lee, Rishi Verma, Scott Hickmann, Annie Zhu, Camron Sallade, Ian Ng, Ryan Chi, Patrick Liu
2021	—	`conf`	Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings. SemEval@ACL/IJCNLP Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe, Kathy J. Lee, Kevin Liu, Patrick Liu, Zander Lack, Jillian Tang, Ethan A. Chi
2021	—	`conf`	Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need. SemEval@ACL/IJCNLP Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi
2021	—	`conf`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2021	J	`jnl`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2019	—	`conf`	Optimizing Traditional Transforms for Vehicular Network Sign Classification. MASS Workshops Carl Cheng, Yu Shen, Patrick Liu