35 citations · 38 across the 4 of their papers we have counts for
4 papers
Dual Operating Modes of In-Context Learning
Ziqian Lin, Kangwook Lee
In-context learning (ICL) exhibits dual operating modes: task learning, i.e., acquiring a new skill from in-context samples, and task retrieval, i.e., locating and activating a rel…
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Ziqian Lin, Hao Ding, Nghia Trong Hoang +3
Recent studies on pre-trained vision/language models have demonstrated the practical benefit of a new, promising solution-building paradigm in AI where models can be pre-trained on…
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang +6
Fine-tuning pretrained language models (LMs) without making any architectural changes has become a norm for learning various language downstream tasks. However, for non-language do…
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin, Sreya Dutta Roy, Yixuan Li
Out-of-distribution (OOD) detection is essential to prevent anomalous inputs from causing a model to fail during deployment. While improved OOD detection methods have emerged, they…