ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.18339
  4. Cited By
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task
  Medical Applications
v1v2 (latest)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

21 October 2023
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Derong Xu
Feng Tian
Yefeng Zheng
    MoE
ArXiv (abs)PDFHTML

Papers citing "When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications"

21 / 21 papers shown
Title
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs
Fahmida Liza Piya
Rahmatollah Beheshti
265
0
0
23 Apr 2025
Large Language Model Distilling Medication Recommendation Model
Large Language Model Distilling Medication Recommendation Model
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Zijian Zhang
Feng Tian
Yefeng Zheng
LM&MA
125
20
0
28 Jan 2025
TAPO: Task-Referenced Adaptation for Prompt Optimization
TAPO: Task-Referenced Adaptation for Prompt Optimization
Wenxin Luo
Wenjie Wang
Xiaopeng Li
Weibo Zhou
Pengyue Jia
Xiangyu Zhao
108
0
0
12 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
123
0
0
31 Dec 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
Yaming Yang
Dilxat Muhtar
Yelong Shen
Yuefeng Zhan
Jianfeng Liu
...
Denvy Deng
Feng Sun
Qi Zhang
Weizhu Chen
Yunhai Tong
MoEMoMe
128
4
0
12 Oct 2024
Baichuan 2: Open Large-scale Language Models
Baichuan 2: Open Large-scale Language Models
Ai Ming Yang
Bin Xiao
Bingning Wang
Borong Zhang
Ce Bian
...
Youxin Jiang
Yuchen Gao
Yupeng Zhang
Guosheng Dong
Zhiying Wu
ELMLRM
209
751
0
19 Sep 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA
  Composition
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang
Qian Liu
Bill Yuchen Lin
Tianyu Pang
Chao Du
Min Lin
MoMe
103
214
0
25 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
138
344
0
05 Jul 2023
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
90
47
0
21 Sep 2022
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Ahmet Üstün
Arianna Bisazza
G. Bouma
Gertjan van Noord
Sebastian Ruder
114
33
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
847
9,683
0
28 Jan 2022
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
493
10,526
0
17 Jun 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
112
609
0
10 Jun 2021
GLM: General Language Model Pretraining with Autoregressive Blank
  Infilling
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du
Yujie Qian
Xiao Liu
Ming Ding
J. Qiu
Zhilin Yang
Jie Tang
BDLAI4CE
142
1,554
0
18 Mar 2021
One Model to Serve All: Star Topology Adaptive Recommender for
  Multi-Domain CTR Prediction
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
Xiang-Rong Sheng
Liqin Zhao
Guorui Zhou
Xinyao Ding
Binding Dai
...
Siran Yang
Jingshan Lv
Chi Zhang
Hongbo Deng
Xiaoqiang Zhu
LRM
56
186
0
27 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,305
0
01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model
  Fine-Tuning
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
Armen Aghajanyan
Luke Zettlemoyer
Sonal Gupta
107
570
1
22 Dec 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
217
625
0
10 Sep 2020
Macro F1 and Macro F1
Macro F1 and Macro F1
Juri Opitz
S. Burst
64
180
0
08 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Junjun Liang
Leilei Gan
Jiwei Li
91
588
0
07 Nov 2019
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
605
2,243
0
25 Jul 2017
1