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Comparing Traditional and LLM-based Search for Consumer Choice: A
  Randomized Experiment

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

7 July 2023
S. Spatharioti
David M. Rothschild
D. Goldstein
Jake M. Hofman
ArXivPDFHTML

Papers citing "Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment"

26 / 26 papers shown
Title
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
Yiming Tang
Yi Fan
Chenxiao Yu
Tiankai Yang
Yue Zhao
Xiyang Hu
24
0
0
08 Apr 2025
Agentic Search Engine for Real-Time IoT Data
Agentic Search Engine for Real-Time IoT Data
Abdelrahman Elewah
Khalid Elgazzar
51
0
0
15 Mar 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
Sunnie S. Y. Kim
J. Vaughan
Q. V. Liao
Tania Lombrozo
Olga Russakovsky
84
5
0
12 Feb 2025
Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
Kaiqi Yang
Hang Li
Yucheng Chu
Hang Li
Tai-Quan Peng
Yuping Lin
Hui Liu
72
1
0
21 Dec 2024
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
Kaixin Wu
Yixin Ji
Z. Chen
Qiang Wang
Cunxiang Wang
...
Jia Xu
Zhongyi Liu
Jinjie Gu
Yuan Zhou
Linjian Mo
KELM
CLL
92
0
0
02 Dec 2024
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
Dante Everaert
Rohit Patki
Tianqi Zheng
Christopher Potts
14
0
0
22 Oct 2024
Generative AI's aggregated knowledge versus web-based curated knowledge
Generative AI's aggregated knowledge versus web-based curated knowledge
Ted Selker
Yunzi Wu
20
0
0
15 Oct 2024
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
Yoshitaka Inoue
Tianci Song
Tianfan Fu
Augustin Luna
Tianfan Fu
LLMAG
18
0
0
23 Aug 2024
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web
  Search for Writing SQL Queries
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries
Harsh Kumar
Mohi Reza
Jeb Mitchell
Ilya Musabirov
Lisa Zhang
Michael Liut
16
1
0
15 Aug 2024
Large Language Model Agents for Improving Engagement with Behavior
  Change Interventions: Application to Digital Mindfulness
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
Harsh Kumar
Suhyeon Yoo
Angela M. Zavaleta Bernuy
Jiakai Shi
Huayin Luo
Joseph Jay Williams
Anastasia Kuzminykh
Ashton Anderson
Rachel Kornfield
32
1
0
03 Jul 2024
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
Delong Ran
Jinyuan Liu
Yichen Gong
Jingyi Zheng
Xinlei He
Tianshuo Cong
Anyu Wang
ELM
34
10
0
13 Jun 2024
Aligning Agents like Large Language Models
Aligning Agents like Large Language Models
Adam Jelley
Yuhan Cao
Dave Bignell
Sam Devlin
Tabish Rashid
LM&Ro
20
1
0
06 Jun 2024
Two Tales of Persona in LLMs: A Survey of Role-Playing and
  Personalization
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
Yu-Min Tseng
Yu-Chao Huang
Teng-Yun Hsiao
Yu-Ching Hsu
Chao-Wei Huang
Jia-Yin Foo
Yun-Nung Chen
LLMAG
243
63
0
03 Jun 2024
The Impossibility of Fair LLMs
The Impossibility of Fair LLMs
Jacy Reese Anthis
Kristian Lum
Michael Ekstrand
Avi Feller
Alexander D’Amour
Chenhao Tan
FaML
21
10
0
28 May 2024
An Assessment of Model-On-Model Deception
An Assessment of Model-On-Model Deception
Julius Heitkoetter
Michael Gerovitch
Laker Newhouse
31
2
0
10 May 2024
One vs. Many: Comprehending Accurate Information from Multiple Erroneous
  and Inconsistent AI Generations
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
Yoonjoo Lee
Kihoon Son
Tae Soo Kim
Jisu Kim
John Joon Young Chung
Eytan Adar
Juho Kim
26
11
0
09 May 2024
"I'm Not Sure, But...": Examining the Impact of Large Language Models'
  Uncertainty Expression on User Reliance and Trust
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim
Q. V. Liao
Mihaela Vorvoreanu
Steph Ballard
Jennifer Wortman Vaughan
24
49
0
01 May 2024
eCeLLM: Generalizing Large Language Models for E-commerce from
  Large-scale, High-quality Instruction Data
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
B. Peng
Xinyi Ling
Ziru Chen
Huan Sun
Xia Ning
ELM
11
16
0
13 Feb 2024
Detecting Generated Native Ads in Conversational Search
Detecting Generated Native Ads in Conversational Search
Sebastian Schmidt
Ines Zelch
Janek Bevendorff
Benno Stein
Matthias Hagen
Martin Potthast
DeLMO
11
3
0
07 Feb 2024
AI Revolution on Chat Bot: Evidence from a Randomized Controlled
  Experiment
AI Revolution on Chat Bot: Evidence from a Randomized Controlled Experiment
Sida Peng
Wojciech Swiatek
Allen Gao
Paul Cullivan
Haoge Chang
13
2
0
19 Jan 2024
Understanding the Role of Large Language Models in Personalizing and
  Scaffolding Strategies to Combat Academic Procrastination
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination
Ananya Bhattacharjee
Yuchen Zeng
Sarah Yi Xu
Dana Kulzhabayeva
Minyi Ma
...
A. Mariakakis
Mary P Czerwinski
Anastasia Kuzminykh
Michael Liut
Joseph Jay Williams
AI4Ed
11
24
0
21 Dec 2023
The Metacognitive Demands and Opportunities of Generative AI
The Metacognitive Demands and Opportunities of Generative AI
Lev Tankelevitch
Viktor Kewenig
Auste Simkute
A. E. Scott
Advait Sarkar
Abigail Sellen
Sean Rintel
AI4CE
20
91
0
18 Dec 2023
A Survey on Large Language Model (LLM) Security and Privacy: The Good,
  the Bad, and the Ugly
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao
Jinhao Duan
Kaidi Xu
Yuanfang Cai
Eric Sun
Yue Zhang
PILM
ELM
24
463
0
04 Dec 2023
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
Navapat Nananukul
Khanin Sisaengsuwanchai
M. Kejriwal
14
5
0
09 Oct 2023
Co-audit: tools to help humans double-check AI-generated content
Co-audit: tools to help humans double-check AI-generated content
Andrew D. Gordon
Carina Negreanu
J. Cambronero
Rasika Chakravarthy
Ian Drosos
...
Hannah Richardson
Advait Sarkar
Stephanie Simmons
Jack Williams
Ben Zorn
12
11
0
02 Oct 2023
Productivity Assessment of Neural Code Completion
Productivity Assessment of Neural Code Completion
Albert Ziegler
Eirini Kalliamvakou
Shawn Simister
Ganesh Sittampalam
Alice Li
Andrew Rice
Devon Rifkin
E. Aftandilian
102
176
0
13 May 2022
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