Jessica Maria Echterhoff

19 papers A* 1A 2Misc 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
How Much Content Do LLMs Generate That Induces Cognitive Bias in Users?
CoRR
Abeer Alessa, Akshaya Lakshminarasimhan, Param Somane, Julian Skirzynski, Julian J. McAuley, Jessica Maria Echterhoff
2025 J jnl
PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior.
CoRR
Junda Wu, Jessica Maria Echterhoff, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2025 — conf
Quantifying Cognitive Bias Induction in LLM-Generated Content.
IJCNLP-AACL (long papers)
Abeer Alessa, Param Somane, Akshaya Lakshminarasimhan, Julian Skirzynski, Julian J. McAuley, Jessica Maria Echterhoff
2024 A conf
Avoiding Decision Fatigue with AI-Assisted Decision-Making.
UMAP
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley
2024 — conf
Cognitive Bias in Decision-Making with LLMs.
EMNLP (Findings)
Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024 J jnl
Cognitive Bias in High-Stakes Decision-Making with LLMs.
CoRR
Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024 A conf
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
WACV
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2024 — conf
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.
NAACL-HLT
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024 J jnl
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.
CoRR
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024 — conf
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
EMNLP (Findings)
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024 J jnl
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
CoRR
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2023 J jnl
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews.
CoRR
Jessica Maria Echterhoff, An Yan, Julian J. McAuley
2023 J jnl
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
CoRR
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2023 J jnl
Should you make your decisions on a WhIM? Data-Driven Decision making using a What-If Machine for Evaluation of Hypothetical Scenarios.
CoRR
Jessica Maria Echterhoff, Bhaskar Sen, Yifei Ren, Nikhil Gopal
2023 J jnl
SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras.
CoRR
Yinan Xuan, Varun K. Viswanath, Sunny Chu, Owen Bartolf, Jessica Maria Echterhoff, Edward Jay Wang
2022 A* conf
AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks.
CHI
Jessica Maria Echterhoff, Matin Yarmand, Julian J. McAuley
2020 J jnl
PAR: Personal Activity Radius Camera View for Contextual Sensing.
CoRR
Jessica Maria Echterhoff, Edward Jay Wang
2018 — conf
Gait analysis in horse sports.
ACI
Jessica Maria Echterhoff, Juan Haladjian, Bernd Brügge
2018 Misc conf
Gait and jump classification in modern equestrian sports.
UbiComp
Jessica Maria Echterhoff, Juan Haladjian, Bernd Brügge