ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.07142
  4. Cited By
Large Language Models in the Workplace: A Case Study on Prompt
  Engineering for Job Type Classification
v1v2v3 (latest)

Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification

International Conference on Applications of Natural Language to Data Bases (NLDB), 2023
13 March 2023
Benjamin Clavié
Alexandru Ciceu
Frederick Naylor
Guillaume Soulié
Thomas Brightwell
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification"

15 / 15 papers shown
Title
Enhancing Hotel Recommendations with AI: LLM-Based Review Summarization and Query-Driven Insights
Enhancing Hotel Recommendations with AI: LLM-Based Review Summarization and Query-Driven Insights
Nikolaos Belibasakis
Anastasios Giannaros
Ioanna Giannoukou
Spyros Sioutas
88
0
0
21 Oct 2025
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents
Strahinja Klem
Noura Al Moubayed
AILaw
52
0
0
02 Sep 2025
Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis
Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis
Shubham Shukla
Kunal Sonalkar
126
1
0
14 Jul 2025
Towards Fairer Health Recommendations: finding informative unbiased
  samples via Word Sense Disambiguation
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Gavin Butts
Pegah Emdad
Jethro Lee
Shannon Song
Chiman Salavati
Willmar Sosa Diaz
Shiri Dori-Hacohen
Fabricio Murai
FaML
150
0
0
11 Sep 2024
CogniDual Framework: Self-Training Large Language Models within a
  Dual-System Theoretical Framework for Improving Cognitive Tasks
CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive TasksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Yongxin Deng
Xihe Qiu
Jue Chen
Chao Qu
Jing Pan
Yuan Cheng
Yinghui Xu
Wei Chu
167
4
0
05 Sep 2024
Evaluating Large Language Models for Material Selection
Evaluating Large Language Models for Material Selection
Daniele Grandi
Yash Jain
Allin Groom
Brandon Cramer
Christopher McComb
160
13
0
23 Apr 2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam
  Detection
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
Yekai Li
Rufan Zhang
Wenxin Rong
Xianghang Mi
165
7
0
15 Apr 2024
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual
  Navigation
VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
Hao Wang
Jiayou Qin
Ashish Bastola
Xiwen Chen
John Suchanek
Zihao Gong
Abolfazl Razi
138
24
0
19 Mar 2024
Security and Privacy Challenges of Large Language Models: A Survey
Security and Privacy Challenges of Large Language Models: A Survey
B. Das
M. H. Amini
Yanzhao Wu
PILMELM
332
284
0
30 Jan 2024
Exploring ChatGPT's Capabilities on Vulnerability Management
Exploring ChatGPT's Capabilities on Vulnerability ManagementUSENIX Security Symposium (USENIX Security), 2023
Peiyu Liu
Junming Liu
Lirong Fu
Kangjie Lu
Yifan Xia
Xuhong Zhang
Wenzhi Chen
Haiqin Weng
R. Beyah
Wenhai Wang
194
35
0
11 Nov 2023
Fake Alignment: Are LLMs Really Aligned Well?
Fake Alignment: Are LLMs Really Aligned Well?North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Yixu Wang
Yan Teng
Kexin Huang
Chengqi Lyu
Songyang Zhang
Wenwei Zhang
Jiabo He
Yu-Gang Jiang
Yu Qiao
Yingchun Wang
151
38
0
10 Nov 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
246
1
0
24 Oct 2023
Large Language Models for Propaganda Detection
Large Language Models for Propaganda Detection
Nils Messerschmidt
Daniel Gordon Jones
L. Zavolokina
200
15
0
10 Oct 2023
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Yashar Deldjoo
226
25
0
14 Jul 2023
A Survey on Evaluation of Large Language Models
A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Yu-Chu Chang
Xu Wang
Yongfeng Zhang
Yuanyi Wu
Linyi Yang
...
Yue Zhang
Yi-Ju Chang
Philip S. Yu
Qian Yang
Xingxu Xie
ELMLM&MAALM
576
2,595
0
06 Jul 2023
1