2 citations · 2 across the 6 of their papers we have counts for
8 papers
Isolating a Language Model's Judgment with a Label-Free Subspace
Chaemin Jang, Donggyu Lee, Jeesoo Kim +2
Language models are often asked to make judgments: whether a proposed answer is correct, whether one statement follows logically from another, or whether a response is safe. Yet ch…
Learning a Fact Is Not Learning How to Retrieve It
Chaemin Jang, Jihee Kim, Dongman Lee
A model trained on "The capital of X is Y" may produce "Y" after "The capital of X is" but fail after "The capital of X:." We call these different ways of eliciting the same fact r…
Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe
Chaemin Jang, Dongman Lee, Jihee Kim
Silicon sampling uses language models as proxies for human survey respondents, treating each model call as an independent draw from the persona's response distribution. We show thi…
In-Context Examples Suppress Scientific Knowledge Recall in LLMs
Chaemin Jang, Woojin Park, Hyeok Yun +2
Scientific reasoning rarely stops at what is directly observable; it often requires uncovering hidden structure from data. From estimating reaction constants in chemistry to inferr…
DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
Junho Yoon, Jaemo Jung, Hyunju Kim +1
Aligning egocentric video with wearable sensors have shown promise for human action recognition, but face practical limitations in user discomfort, privacy concerns, and scalabilit…
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition
Hyunju Kim, Geon Kim, Taehoon Lee +2
With the advancement of IoT technology, recognizing user activities with machine learning methods is a promising way to provide various smart services to users. High-quality data w…
Self-supervised New Activity Detection in Sensor-based Smart Environments
Hyunju Kim, Dongman Lee
With the rapid advancement of ubiquitous computing technology, human activity analysis based on time series data from a diverse range of sensors enables the delivery of more intell…
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
Hyunju Kim, Heesuk Son, Dongman Lee
Human activity recognition (HAR) is a key challenge in pervasive computing and its solutions have been presented based on various disciplines. Specifically, for HAR in a smart spac…