activity
20202026
most citedHUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

7 citations · 15 across the 24 of their papers we have counts for

collaborators

24 papers

cs.CL2026

PTCG: Persona-guided Tree-based Counterargument Generation

Eunbeen Son, Yohan Jo, Joonsuk Park +1

The ability to generate counterarguments is important for critical thinking and balanced discourse, yet existing approaches typically produce only a single counterargument, failing…

cs.CL2026

CHARM: Character Hallucination for Multicultural Role Play Benchmark

Sunkyung Han, Nahyeon Park, Gaeun Seo +2

Role-playing large language models (LLMs) are expected to adopt a character's style while also respecting that character's knowledge boundaries. Prior evaluations detect character…

cs.CL2026

CoCoA: Context-Conditional Cultural Alignment for Large Language Models

Kyungdon Lee, Wei Xu, Alan Ritter +2

Large Language Models (LLMs) often favor Western-associated entities across cultural contexts. Conventional debiasing methods aim for uniform neutrality, but cultural bias mitigati…

cs.CL2026

CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia

Bryan Chen Zhengyu Tan, Weihua Zheng, Thong T. Doan +30

Current cultural evaluations for large language models (LLMs) often reduce culture to single-turn factual recall via MCQs, failing to capture a common use case: users seeking pract…

cs.CL2026

Evidence-Consistent Generative Detection under Scenario-Level Distribution Shift

San Kim, JinYeong Bak

Conventional in-distribution evaluation can overestimate robustness when training and test data share recurring task-specific patterns or surface cues. This risk is especially rele…

cs.CL2026

MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement

Suhyun Han, Kyunghyun Cho, JinYeong Bak

As mental health concerns continue to rise globally, social media has emerged as a vital space where individuals seek emotional support. While prior work on personalized emotional…

cs.IR2026

Temporal Preference Optimization for Unsupervised Retrieval

HyunJin Kim, Jaejun Shim, Young Jin Kim +1

Unsupervised dense retrievers offer scalability by learning semantic similarity from unlabeled documents via contrastive learning, but they struggle to capture the temporal relevan…

cs.CL2026

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook

Jaehyeok Lee, Xiaoyuan Yi, Jing Yao +4

As LLMs are globally deployed, aligning their cultural value orientations is critical for safety and user engagement. However, existing benchmarks face the Construct-Composition-Co…

cs.CL2025

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages

Tarek Naous, Anagha Savit, Carlos Rafael Catalan +17

As Large Language Models (LLMs) develop stronger multilingual capabilities, their sensitivity to culturally diverse entities becomes increasingly important. Prior work by Naous et…

cs.HC2025★ 1 cited

Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions

JiWoo Kim, Minsuk Chang, JinYeong Bak

Traditional text-based human-AI interactions often adhere to a strict turn-taking approach. In this research, we propose a novel approach that incorporates overlapping messages, mi…

cs.LG2024

Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation

Jaehyeok Lee, Keisuke Sakaguchi, JinYeong Bak

Self-training approach for large language models (LLMs) improves reasoning abilities by training the models on their self-generated rationales. Previous approaches have labeled rat…

cs.LG2024

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments

Heeyoung Lee, Hoyoon Byun, Changdae Oh +2

Accessing machine learning models through remote APIs has been gaining prevalence following the recent trend of scaling up model parameters for increased performance. Even though t…

cs.CL2024

KpopMT: Translation Dataset with Terminology for Kpop Fandom

JiWoo Kim, Yunsu Kim, JinYeong Bak

While machines learn from existing corpora, humans have the unique capability to establish and accept new language systems. This makes human form unique language systems within soc…

cs.CL2024★ 2 cited

MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control

Yeonji Lee, Sangjun Park, Kyunghyun Cho +1

As mental health issues globally escalate, there is a tremendous need for advanced digital support systems. We introduce MentalAgora, a novel framework employing large language mod…

cs.CY2024

Harmful Suicide Content Detection

Kyumin Park, Myung Jae Baik, YeongJun Hwang +13

Harmful suicide content on the Internet is a significant risk factor inducing suicidal thoughts and behaviors among vulnerable populations. Despite global efforts, existing resourc…

cs.CL2023

PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models

HyunJin Kim, Young Jin Kim, JinYeong Bak

Pre-trained language models (PLMs) show impressive performance in various downstream NLP tasks. However, pre-training large language models demands substantial memory and training…

cs.CL2023

From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models

Dongjun Kang, Joonsuk Park, Yohan Jo +1

Being able to predict people's opinions on issues and behaviors in realistic scenarios can be helpful in various domains, such as politics and marketing. However, conducting large-…

cs.CL2023★ 2 cited

Diversity Enhanced Narrative Question Generation for Storybooks

Hokeun Yoon, JinYeong Bak

Question generation (QG) from a given context can enhance comprehension, engagement, assessment, and overall efficacy in learning or conversational environments. Despite recent adv…

cs.LG2023

Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture

Sangjun Park, JinYeong Bak

Making neural networks remember over the long term has been a longstanding issue. Although several external memory techniques have been introduced, most focus on retaining recent i…

cs.CL2022★ 7 cited

HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

Haneul Yoo, Jiho Jin, Juhee Son +3

Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters and not understood by modern Korean or Chinese…

cs.CL2022

Translating Hanja Historical Documents to Contemporary Korean and English

Juhee Son, Jiho Jin, Haneul Yoo +3

The Annals of Joseon Dynasty (AJD) contain the daily records of the Kings of Joseon, the 500-year kingdom preceding the modern nation of Korea. The Annals were originally written i…

cs.CL2021

Knowledge-Enhanced Evidence Retrieval for Counterargument Generation

Yohan Jo, Haneul Yoo, JinYeong Bak +3

Finding counterevidence to statements is key to many tasks, including counterargument generation. We build a system that, given a statement, retrieves counterevidence from diverse…

cs.LG2020★ 3 cited

Controlled Molecule Generator for Optimizing Multiple Chemical Properties

Bonggun Shin, Sungsoo Park, JinYeong Bak +1

Generating a novel and optimized molecule with desired chemical properties is an essential part of the drug discovery process. Failure to meet one of the required properties can fr…

cs.CL2020

Speaker Sensitive Response Evaluation Model

JinYeong Bak, Alice Oh

Automatic evaluation of open-domain dialogue response generation is very challenging because there are many appropriate responses for a given context. Existing evaluation models me…