Search Results for author: Xing Tian

Found 6 papers, 3 papers with code

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning

no code implementations23 Oct 2024 Jingfan Zhang, Yi Zhao, Dan Chen, Xing Tian, Huanran Zheng, Wei Zhu

Low-rank adaptation (LoRA) and its mixture-of-experts (MOE) variants are highly effective parameter-efficient fine-tuning (PEFT) methods.

Math parameter-efficient fine-tuning

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models

no code implementations24 Mar 2024 Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

Parameter-efficient fine-tuning (PEFT) is widely studied for its effectiveness and efficiency in the era of large language models.

parameter-efficient fine-tuning

Text2MDT: Extracting Medical Decision Trees from Medical Texts

1 code implementation4 Jan 2024 Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie

In this work, we propose a novel task, Text2MDT, to explore the automatic extraction of MDTs from medical texts such as medical guidelines and textbooks.

Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization

1 code implementation13 Jul 2021 Jiajie Zou, Yuran Zhang, Jialu Li, Xing Tian, Nai Ding

Furthermore, when readers scan a passage without a question in mind, their reading time is predicted by DNNs optimized for a word prediction task.

Question Answering Reading Comprehension

Probabilistic Classification Vector Machine for Multi-Class Classification

no code implementations29 Jun 2020 Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen

The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian solution to classification problems.

Classification General Classification +1

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