Genetic improvement in the shackleton framework for optimizing LLVM pass sequences. - Shuyue Stella Li; Hannah Peeler; Andrew N. Sloss; Kenneth N. Reid; Wolfgang Banzhaf (GECCO Companion, 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 004; Wolfgang Banzhaf (GECCO Companion, 2022)

Investigating self-supervised learning for lyrics recognition. - Xiangyu Zhang; Zhanhong He; Shuyue Stella Li; Roberto Togneri; Leibny Paola García-Perera (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)

Language Agnostic Code-Mixing Data Augmentation by Predicting Linguistic Patterns. - Shuyue Stella Li; Kenton Murray (CoRR, 2022)

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. - Haoran Xu; Weiting Tan; Shuyue Stella Li; Yunmo Chen; Benjamin Van Durme; Philipp Koehn; Kenton Murray (EMNLP, 2023)

PQLM - Multilingual Decentralized Portable Quantum Language Model. - Shuyue Stella Li; Xiangyu Zhang; Shu Zhou; Hongchao Shu; Ruixing Liang; Hexin Liu; Leibny Paola García (ICASSP, 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 (ICASSP, 2023)

A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters. - Shuyue Stella Li; Beining Xu 001; Xiangyu Zhang; Hexin Liu; Wenhan Chao; Paola García 001 (ICNLSP, 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 Extractors. - Shuyue Stella Li; Beining Xu 001; Xiangyu Zhang; Hexin Liu; Wenhan Chao; Leibny Paola García (CoRR, 2023)

Teaching LLMs to Abstain across Languages via Multilingual Feedback. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Orevaoghene Ahia; Shuyue Stella Li; Vidhisha Balachandran; Sunayana Sitaram; Yulia Tsvetkov (EMNLP, 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 (EMNLP (Findings), 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 (ICHI, 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 (NAACL-HLT (Findings), 2024)

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei W. Koh; Yulia Tsvetkov (NeurIPS, 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 001 (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)

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 001 (CoRR, 2024)

CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming. - 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 001 (ACL (1), 2025)

Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning. - Shuyue Stella Li; Jimin Mun; Faeze Brahman; Jonathan Ilgen; Yulia Tsvetkov; Maarten Sap (CoRR, 2025)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare. - Yubin Kim 002; Hyewon Jeong; Shan Chen 004; Shuyue Stella Li; Mingyu Lu; Kumail Alhamoud; Jimin Mun; Cristina Grau; Minseok Jung; Rodrigo Gameiro; Lizhou Fan; Eugene Park; et al. (CoRR, 2025)

A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage. - Rui Xin; Niloofar Mireshghallah; Shuyue Stella Li; Michael Duan; Hyunwoo Kim 002; Yejin Choi 001; Yulia Tsvetkov; Sewoong Oh; Pang Wei Koh (CoRR, 2025)

BLAB: Brutally Long Audio Bench. - Orevaoghene Ahia; Martijn Bartelds; Kabir Ahuja; Hila Gonen; Valentin Hofmann; Siddhant Arora; Shuyue Stella Li; Vishal Puttagunta; Mofetoluwa Adeyemi; Charishma Buchireddy; Ben Walls; Noah Bennett; et al. (CoRR, 2025)

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum. - Yubin Kim 002; Zhiyuan Hu; Hyewon Jeong; Eugene Park; Shuyue Stella Li; Chanwoo Park; Shiyun Xiong; Mingyu Lu; Hyeonhoon Lee; Xin Liu 034; Daniel McDuff; Cynthia Breazeal; et al. (CoRR, 2025)

Precise Information Control in Long-Form Text Generation. - Jacqueline He; Howard Yen; Margaret Li; Shuyue Stella Li; Zhiyuan Zeng; Weijia Shi; Yulia Tsvetkov; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer (CoRR, 2025)

Spurious Rewards: Rethinking Training Signals in RLVR. - Rulin Shao; Shuyue Stella Li; Rui Xin; Scott Geng; Yiping Wang; Sewoong Oh; Simon Shaolei Du; Nathan Lambert 001; Sewon Min; Ranjay Krishna; Yulia Tsvetkov; Hannaneh Hajishirzi; et al. (CoRR, 2025)

PrefPalette: Personalized Preference Modeling with Latent Attributes. - Shuyue Stella Li; Melanie Sclar; Hunter Lang; Ansong Ni; Jacqueline He; Puxin Xu; Andrew Cohen; Chan Young Park; Yulia Tsvetkov; Asli Celikyilmaz (CoRR, 2025)