activity
20232025
most citedPrototype-Based Interpretability for Legal Citation Prediction

4 citations · 4 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback

Chu Fei Luo, Samuel Dahan, Xiaodan Zhu

As language models have a greater impact on society, it is important to ensure they are aligned to a diverse range of perspectives and are able to reflect nuance in human values. H…

cs.CL2025

MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction

Xinchun Su, Chunxu Luo, Yixuan Li +2

In the field of medicine, complex reasoning tasks such as clinical diagnosis, treatment planning, and medical knowledge integration pose significant challenges, where small languag…

cs.CV2025

Qianfan-VL: Domain-Enhanced Universal Vision-Language Models

Daxiang Dong, Mingming Zheng, Dong Xu +32

We present Qianfan-VL, a series of multimodal large language models ranging from 3B to 70B parameters, achieving state-of-the-art performance through innovative domain enhancement…

cs.CL2025

CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment

Radin Shayanfar, Chu Fei Luo, Rohan Bhambhoria +2

Building Task-Oriented Dialogue (TOD) systems that generalize across different tasks remains a challenging problem. Data-driven approaches often struggle to transfer effectively to…

cs.CL2024

Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation

Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria +2

Misinformation, defined as false or inaccurate information, can result in significant societal harm when it is spread with malicious or even innocuous intent. The rapid online info…

cs.CL2024

Red-Teaming for Inducing Societal Bias in Large Language Models

Chu Fei Luo, Ahmad Ghawanmeh, Bharat Bhimshetty +4

Ensuring the safe deployment of AI systems is critical in industry settings where biased outputs can lead to significant operational, reputational, and regulatory risks. Thorough e…

cs.CL2023★ 4 cited

Prototype-Based Interpretability for Legal Citation Prediction

Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan +1

Deep learning has made significant progress in the past decade, and demonstrates potential to solve problems with extensive social impact. In high-stakes decision making areas such…

cs.CL2023

Towards Legally Enforceable Hate Speech Detection for Public Forums

Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu +1

Hate speech causes widespread and deep-seated societal issues. Proper enforcement of hate speech laws is key for protecting groups of people against harmful and discriminatory lang…