3 papers
cs.LG2026
One-Sided Matrix Completion from Ultra-Sparse Samples
Hongyang R. Zhang, Zhenshuo Zhang, Huy L. Nguyen +1
Matrix completion is a classical problem that has received recurring interest across a wide range of fields. In this paper, we revisit this problem in an ultra-sparse sampling regi…
cs.LG2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
Ziniu Zhang, Zhenshuo Zhang, Dongyue Li +3
This paper introduces an algorithm to select demonstration examples for in-context learning of a query set. Given a set of examples, how can we quickly select out of to…
cs.LG2025
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
Dongyue Li, Ziniu Zhang, Lu Wang +1
This paper develops an ensemble method for fine-tuning a language model to multiple datasets. Existing methods, such as quantized LoRA (QLoRA), are efficient when adapting to a sin…