Karin de Langis

According to our database, Karin de Langis authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Strong Memory, Weak Control: An Empirical Study of Executive Functioning in LLMs.

Karin de Langis, Jong Inn Park, Khanh Chi Le, Andreas Schramm, Andrew Elfenbein, Michael C. Mensink, Dongyeop Kang

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Mary, the Cheeseburger-Eating Vegetarian: Do LLMs Recognize Incoherence in Narratives?

Karin de Langis, Püren Öncel, Ryan Peters, Andrew Elfenbein, Laura Kristen Allen, Andreas Schramm, Dongyeop Kang

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Tracing How Annotators Think: Augmenting Preference Judgments with Reading Processes.

Karin de Langis, William Walker, Khanh Chi Le, Dongyeop Kang

CoRR, November, 2025

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Andreas Schramm, Bin Hu, Khanh Chi Le, Michael C. Mensink, Ahn Thu Tong, Dongyeop Kang

CoRR, July, 2025

LawFlow : Collecting and Simulating Lawyers' Thought Processes.

Debarati Das, Khanh Chi Le, Ritik Sachin Parkar, Karin de Langis, Brendan Madson, Chad M. Berryman, Robin M. Willis, Daniel H. Moses, Brett McDonnell, Daniel Schwarcz, Dongyeop Kang

CoRR, April, 2025

A Framework for Robust Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Bin Hu, Khanh Chi Le, Andreas Schramm, Michael C. Mensink, Andrew Elfenbein, Dongyeop Kang

CoRR, April, 2025

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs.

Karin de Langis, Jong Inn Park, Andreas Schramm, Bin Hu, Khanh Chi Le, Dongyeop Kang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Reinforcement Learning with Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation.

Karin de Langis, Ryan Koo, Dongyeop Kang

CoRR, 2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data.

Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang

CoRR, 2024

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation.

Karin de Langis, Ryan Koo, Dongyeop Kang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features.

Rose Neis, Karin de Langis, Zae Myung Kim, Dongyeop Kang

CoRR, 2023

A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models.

Karin de Langis, Dongyeop Kang

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.

Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data.

Karin de Langis, Michael Fulton, Junaed Sattar

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance.

Jungseok Hong, Karin de Langis, Cole Wyeth, Christopher Walaszek, Junaed Sattar

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

An Analysis of Deep Object Detectors For Diver Detection.

Karin de Langis, Michael Fulton, Junaed Sattar

CoRR, 2020

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots.

Md Jahidul Islam, Ruobing Wang, Karin de Langis, Junaed Sattar

CoRR, 2020

Realtime Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration.

Karin de Langis, Junaed Sattar

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Real-Time Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration.

Karin de Langis, Junaed Sattar

CoRR, 2019