collaborators

7 papers

cs.CL2026

AnchorSIPS: A Synthetic Dataset and Evaluation Resource for Evidence-Supported Psychosis-Risk Symptom Measurement

Guilherme C. Oliveira, Stephanie Fong, Zimu Wang +10

Progress on AI for psychosis-risk assessment is limited by a data-access bottleneck. Real clinical interviews are difficult to share because of privacy, governance, and consent con…

cs.SD2026

AudioProcessBench: Benchmark for Identifying Process Errors in Audio-Grounded Reasoning

Xiangyu Zhao, Junyu Yan, Yaling Shen +7

Large audio-language models (LALMs) increasingly use explicit reasoning traces for complex audio understanding, yet the evaluation of reasoning quality remains underexplored. Altho…

cs.AI2026

Herculean: An Agentic Benchmark for Financial Intelligence

Xueqing Peng, Zhuohan Xie, Yupeng Cao +60

As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…

cs.CL2026

Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling

Qingyang Xu, Yaling Shen, Stephanie Fong +7

The increasing use of large language models (LLMs) in mental healthcare raises safety concerns in high-stakes therapeutic interactions. A key challenge is distinguishing therapeuti…

cs.CL2026

CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations

Stephanie Fong, Zimu Wang, Guilherme C. Oliveira +9

The medical adoption of NLP tools requires interpretability by end users, yet traditional explainable AI (XAI) methods are misaligned with clinical reasoning and lack clinician inp…

cs.CL2026

PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics

Yaling Shen, Stephanie Fong, Yiwen Jiang +9

The increasing integration of large language models (LLMs) into mental health applications necessitates robust frameworks for evaluating professional safety alignment. Current eval…