Qianchu Liu - RankMe

31 papers A* 4B 3Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling medical imaging report generation with multimodal reinforcement learning. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Sid Kiblawi, Wen-Wai Yim, Timothy Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration. CoRR James Y. Huang, Sheng Zhang, Qianchu Liu, Guanghui Qin, Tinghui Zhu, Tristan Naumann, Muhao Chen, Hoifung Poon
2025	A*	`conf`	CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation. AAAI Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff
2025	J	`jnl`	Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. CoRR Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon
2025	J	`jnl`	OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning. CoRR Timothy Ossowski, Sheng Zhang, Qianchu Liu, Guanghui Qin, Reuben Tan, Tristan Naumann, Junjie Hu, Hoifung Poon
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025	—	`conf`	TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes. ACL (6) Raj Sanjay Shah, Lei Xu, Qianchu Liu, Jon Burnsky, Andrew Bertagnolli, Chaitanya Shivade
2025	J	`jnl`	TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes. CoRR Raj Sanjay Shah, Lei Xu, Qianchu Liu, Jon Burnsky, Drew Bertagnolli, Chaitanya Shivade
2025	J	`jnl`	The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks. CoRR Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025	J	`jnl`	Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. CoRR Cliff Wong, Sam Preston, Qianchu Liu, Zelalem Gero, Jass Bagga, Sheng Zhang, Shrey Jain, Theodore Zhao, Yu Gu, Yanbo Xu, Sid Kiblawi, Roshanthi Weerasinghe, Rom S. Leidner, Kristina Young, Brian Piening, Carlo Bifulco, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon
2024	J	`jnl`	CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation. CoRR Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	A*	`conf`	Exploring the Boundaries of GPT-4 in Radiology. EMNLP Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	J	`jnl`	Exploring the Boundaries of GPT-4 in Radiology. CoRR Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023	A*	`conf`	Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CVPR Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023	J	`jnl`	Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CoRR Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2022	A*	`conf`	Measuring Context-Word Biases in Lexical Semantic Datasets. EMNLP Qianchu Liu, Diana McCarthy, Anna Korhonen
2021	—	`conf`	AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples. EMNLP (1) Qianchu Liu, Edoardo Maria Ponti, Diana McCarthy, Ivan Vulic, Anna Korhonen
2021	J	`jnl`	AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples. CoRR Qianchu Liu, Edoardo Maria Ponti, Diana McCarthy, Ivan Vulic, Anna Korhonen
2021	J	`jnl`	Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets. CoRR Qianchu Liu, Diana McCarthy, Anna Korhonen
2021	—	`conf`	Improving Machine Translation of Rare and Unseen Word Senses. WMT@EMNLP Viktor Hangya, Qianchu Liu, Dario Stojanovski, Alexander Fraser, Anna Korhonen
2021	B	`conf`	MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoNLL Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
2021	J	`jnl`	MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. CoRR Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic
2020	—	`conf`	Towards Better Context-aware Lexical Semantics: Adjusting Contextualized Representations through Static Anchors. EMNLP (1) Qianchu Liu, Diana McCarthy, Anna Korhonen
2020	—	`conf`	XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning. EMNLP (1) Edoardo Maria Ponti, Goran Glavas, Olga Majewska, Qianchu Liu, Ivan Vulic, Anna Korhonen
2020	J	`jnl`	XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning. CoRR Edoardo Maria Ponti, Goran Glavas, Olga Majewska, Qianchu Liu, Ivan Vulic, Anna Korhonen
2019	B	`conf`	Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation. CoNLL Qianchu Liu, Diana McCarthy, Ivan Vulic, Anna Korhonen
2019	—	`conf`	Second-order contexts from lexical substitutes for few-shot learning of word representations. *SEM@NAACL-HLT Qianchu Liu, Diana McCarthy, Anna Korhonen
2018	B	`conf`	NegPar: A parallel corpus annotated for negation. LREC Qianchu Liu, Federico Fancellu, Bonnie L. Webber