Hello! I am a senior researcher at Microsoft Research, working on multi-modal biomedical foundation models. Prior to this, I was an applied scientsit at Amazon AWS working on large language models with clinical applications. I obtained my PhD in Computation, Cognition and Language from Language Technology Lab (LTL) at the University of Cambridge. My current supervisors were Professor Anna Korhonen and Dr. Diana Mccarthy.

Research Interests

Building large language models for clinical applications
Multi-modal language models
Evaluation and Interpretation

Selected Publications

Exploring the Boundaries of GPT-4 in Radiology
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 Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) Also see the blog post from Microsoft Research Health Futures, and Greg Brockman’s twitter post

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur, Stephanie 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 Nori, Javier Alvarez-Valle, Ozan Oktay
In Proceedings of the 2023 Computer Vision and Pattern Recognition Conference (CVPR 2023)

Measuring Context-Word Biases in Lexical Semantic Datasets
Qianchu Liu, Diana McCarthy, Anna Korhonen
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples
Qianchu Liu, Edoardo M. Ponti, Diana McCarthy, Ivan Vulić, Anna Korhonen
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)

Towards Better Context-aware Lexical Semantics: Adjusting Contextualized Representations through Static Anchors
Qianchu Liu, Diana McCarthy, Anna Korhonen
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Edoardo M. Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić, Anna Korhonen
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

Investigating Cross-lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation
Qianchu Liu, Diana McCarthy, Ivan Vulić, Anna Korhonen
In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL 2019)