2 citations · 2 across the 6 of their papers we have counts for
7 papers
Measuring Interest Group Positions on Legislation: An AI-Driven Analysis of Lobbying Reports
Jiseon Kim, Dongkwan Kim, Joohye Jeong +2
Special interest groups (SIGs) in the U.S. participate in a range of political activities, such as lobbying and making campaign donations, to influence policy decisions in the legi…
Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment
Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti +2
Deploying large language models (LLMs) with agency in real-world applications raises critical questions about how these models will behave. In particular, how will their decisions…
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Juhyun Oh, Eunsu Kim, Jiseon Kim +4
Large language models (LLMs) often exhibit tendencies that diverge from human preferences, such as favoring certain writing styles or producing overly verbose outputs. While crucia…
KoBBQ: Korean Bias Benchmark for Question Answering
Jiho Jin, Jiseon Kim, Nayeon Lee +3
The Bias Benchmark for Question Answering (BBQ) is designed to evaluate social biases of language models (LMs), but it is not simple to adapt this benchmark to cultural contexts ot…
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
Seonghyeon Ye, Jiseon Kim, Alice Oh
We introduce EfficientCL, a memory-efficient continual pretraining method that applies contrastive learning with novel data augmentation and curriculum learning. For data augmentat…
Learning Bill Similarity with Annotated and Augmented Corpora of Bills
Jiseon Kim, Elden Griggs, In Song Kim +1
Bill writing is a critical element of representative democracy. However, it is often overlooked that most legislative bills are derived, or even directly copied, from other bills.…
Dimensional Emotion Detection from Categorical Emotion
Sungjoon Park, Jiseon Kim, Seonghyeon Ye +3
We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations. Our…