Real-Time Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration. - Karin de Langis; Junaed Sattar (CoRR, 2019)

Realtime Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration. - Karin de Langis; Junaed Sattar (ICRA, 2020)

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots. - Md Jahidul Islam; Ruobing Wang 002; Karin de Langis; Junaed Sattar (CoRR, 2020)

An Analysis of Deep Object Detectors For Diver Detection. - Karin de Langis; Michael Fulton; Junaed Sattar (CoRR, 2020)

Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance. - Jungseok Hong; Karin de Langis; Cole Wyeth; Christopher Walaszek; Junaed Sattar (ICRA, 2021)

Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data. - Karin de Langis; Michael Fulton; Junaed Sattar (IROS, 2021)

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. - Jaehyung Kim 001; Yekyung Kim; Karin de Langis; Jinwoo Shin; Dongyeop Kang (ACL (1), 2023)

A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. - Karin de Langis; Dongyeop Kang (CoNLL, 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)

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation. - Karin de Langis; Ryan Koo; Dongyeop Kang (EMNLP, 2024)

Under the Surface: Tracking the Artifactuality of LLM-Generated Data. - Debarati Das 004; Karin de Langis; Anna Martin-Boyle; Jaehyung Kim 001; Minhwa Lee; Zae Myung Kim; Shirley Anugrah Hayati; Risako Owan; Bin Hu; Ritik Parkar; Ryan Koo; Jong Inn Park; et al. (CoRR, 2024)

Reinforcement Learning with Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation. - Karin de Langis; Ryan Koo; Dongyeop Kang (CoRR, 2024)

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 (ACL (1), 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, 2025)

LawFlow : Collecting and Simulating Lawyers' Thought Processes. - Debarati Das 004; 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, 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, 2025)