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Balancing Specialized and General Skills in LLMs: The Impact of Modern
  Tuning and Data Strategy

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

7 October 2023
Zhengwu Zhang
Chen Zheng
Da Tang
Ke Sun
Yukun Ma
Yingtong Bu
Xun Zhou
Liang Zhao
    ALM
ArXivPDFHTML

Papers citing "Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy"

5 / 5 papers shown
Title
Can Large Language Models Extract Customer Needs as well as Professional Analysts?
Artem Timoshenko
Chengfeng Mao
J. Hauser
ELM
55
0
0
25 Feb 2025
Evaluating the Efficacy of Large Language Models in Identifying Phishing
  Attempts
Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
Het Patel
Umair Rehman
Farkhund Iqbal
44
4
0
23 Apr 2024
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
1