Xing Xu

SADA: Self-Adaptive Domain Adaptation From Black-Box Predictors

2024

Domain adaptation from black-box predictors aims to perform domain adaptation using predictions from a model trained on the source domain, thereby avoiding privacy issues associated with source domain data and enabling the training of a …

Template-Based Math Word Problem Solvers with Recursive Neural Networks

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

The design of automatic solvers to arithmetic math word problems has attracted considerable attention in recent years and a large number of datasets and methods have been published. Among them, Math23K is the largest data …

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

2023

The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e.g., ChatDoctor) or …