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Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

3 February 2025
Gaole He
Gianluca Demartini
U. Gadiraju
    LLMAG
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Papers citing "Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant"

4 / 4 papers shown
Title
A Vision for Auto Research with LLM Agents
A Vision for Auto Research with LLM Agents
C. Liu
Chong Wang
Jiayue Cao
Jingquan Ge
K. Wang
...
Y. Huang
Yijia Xu
Yuqiang Sun
Z. Zhou
Zhengzi Xu
35
0
0
26 Apr 2025
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
Ivica Kostric
K. Balog
Ujwal Gadiraju
22
0
0
17 Apr 2025
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
Shreyan Biswas
Alexander Erlei
U. Gadiraju
99
2
0
13 Feb 2025
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Gaole He
Patrick Hemmer
Michael Vossing
Max Schemmer
U. Gadiraju
35
0
0
19 Jan 2025
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