Publications (138)
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting
Guande He, Peng Cui, Jianfei Chen +2
Despite the significant progress made in practical applications of aligned language models (LMs), they tend to be overconfident in output answers compared to the corresponding pre-…
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu, Jiashuo Liu, Xingxuan Zhang +2
Machine learning models, while progressively advanced, rely heavily on the IID assumption, which is often unfulfilled in practice due to inevitable distribution shifts. This render…
Learning to Learn Image Classifiers with Visual Analogy
Linjun Zhou, Peng Cui, Shiqiang Yang +2
Humans are far better learners who can learn a new concept very fast with only a few samples compared with machines. The plausible mystery making the difference is two fundamental…
DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms
Yikang Chen, Zhengkang Guan, Haoyuan Qian +5
The paper presents DAG-FM, a transformer‑based foundation model that discovers causal directed acyclic graphs from tabular data by sequentially predicting leaf and parent nodes and…
Regulatory Instruments for Fair Personalized Pricing
Renzhe Xu, Xingxuan Zhang, Peng Cui +3
Personalized pricing is a business strategy to charge different prices to individual consumers based on their characteristics and behaviors. It has become common practice in many i…
Deep Learning for Learning Graph Representations
Wenwu Zhu, Xin Wang, Peng Cui
Mining graph data has become a popular research topic in computer science and has been widely studied in both academia and industry given the increasing amount of network data in t…