Shuyue Stella Li

According to our database, Shuyue Stella Li authored at least 18 papers between 2022 and 2024.

Collaborative distances:

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

2024

CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs.

Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi

CoRR, 2024

MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning.

Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

CoRR, 2024

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge.

Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, Yejin Choi

CoRR, 2024

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles.

Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking.

Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions.

Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Teaching LLMs to Abstain across Languages via Multilingual Feedback.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors.

Shuyue Stella Li, Beining Xu, Xiangyu Zhang, Hexin Liu, Wenhan Chao, Leibny Paola García

CoRR, 2023

Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning.

Shuyue Stella Li, Cihan Xiao, Tianjian Li, Bismarck Odoom

CoRR, 2023

A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters.

Shuyue Stella Li, Beining Xu, Xiangyu Zhang, Hexin Liu, Wenhan Chao, Paola García

Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023

A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters.

Yu Xuan, Xiangyu Zhang, Shuyue Stella Li, Zihan Shen, Xin Xie, Leibny Paola García, Roberto Togneri

Proceedings of the IEEE International Conference on Acoustics, 2023

PQLM - Multilingual Decentralized Portable Quantum Language Model.

Shuyue Stella Li, Xiangyu Zhang, Shu Zhou, Hongchao Shu, Ruixing Liang, Hexin Liu, Leibny Paola García

Proceedings of the IEEE International Conference on Acoustics, 2023

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules.

Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray

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

2022

Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns.

Shuyue Stella Li, Kenton Murray

CoRR, 2022

PQLM - Multilingual Decentralized Portable Quantum Language Model for Privacy Protection.

Shuyue Stella Li, Xiangyu Zhang, Shu Zhou, Hongchao Shu, Ruixing Liang, Hexin Liu, Leibny Paola García-Perera

CoRR, 2022

Investigating self-supervised learning for lyrics recognition.

Xiangyu Zhang, Zhanhong He, Shuyue Stella Li, Roberto Togneri, Leibny Paola García-Perera

CoRR, 2022

Optimizing LLVM pass sequences with shackleton: a linear genetic programming framework.

Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Genetic improvement in the shackleton framework for optimizing LLVM pass sequences.

Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022