Qianchu Liu

According to our database, Qianchu Liu authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains.

Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon

CoRR, May, 2025

TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes.

Raj Sanjay Shah, Lei Xu, Qianchu Liu, Jon Burnsky, Drew Bertagnolli, Chaitanya Shivade

CoRR, March, 2025

Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning.

Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon

CoRR, February, 2025

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale.

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

CoRR, February, 2025

CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation.

Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

Compositional Zero-Shot Domain Transfer with Text-to-Text Models.

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

Trans. Assoc. Comput. Linguistics, 2023

Exploring the Boundaries of GPT-4 in Radiology.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Measuring Context-Word Biases in Lexical Semantic Datasets.

Qianchu Liu, Diana McCarthy, Anna Korhonen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets.

Qianchu Liu, Diana McCarthy, Anna Korhonen

CoRR, 2021

AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples.

Qianchu Liu, Edoardo Maria Ponti, Diana McCarthy, Ivan Vulic, Anna Korhonen

CoRR, 2021

Improving Machine Translation of Rare and Unseen Word Senses.

Viktor Hangya, Qianchu Liu, Dario Stojanovski, Alexander Fraser, Anna Korhonen

Proceedings of the Sixth Conference on Machine Translation, 2021

AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples.

Qianchu Liu, Edoardo Maria Ponti, Diana McCarthy, Ivan Vulic, Anna Korhonen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models.

Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning.

Edoardo Maria Ponti, Goran Glavas, Olga Majewska, Qianchu Liu, Ivan Vulic, Anna Korhonen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Better Context-aware Lexical Semantics: Adjusting Contextualized Representations through Static Anchors.

Qianchu Liu, Diana McCarthy, Anna Korhonen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Second-order contexts from lexical substitutes for few-shot learning of word representations.

Qianchu Liu, Diana McCarthy, Anna Korhonen

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation.

Qianchu Liu, Diana McCarthy, Ivan Vulic, Anna Korhonen

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

NegPar: A parallel corpus annotated for negation.

Qianchu Liu, Federico Fancellu, Bonnie L. Webber

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018