CIKM

A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators

Chaehyun Kim, Sein Kim, Hongseok Kang, Chanyoung Park

A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential Recommendation

Hyeongjun Yun, Kihyuk Song, Jaegul Choo, Chung Park

Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee, Chanyoung Park

Compositional Spectral Prompts for LLM-based Online Time Series Forecasting

Choi, S., Kim, H., Lee, J., and Park, C.

Context-Aware Pruning for Ordering-Based Causal Discovery

J. Sohn, S. Song, W. Jeong, Y. Shon, H.-I. Suk

DAMEC: Disease-Aware Multi-Expert Consensus Framework for Study-Level Radiology Report Generation

J. Maeng, E. Kang, H.-I. Suk

DefaultGNN: A Dual-Perspective GNN Framework for Predicting Corporate Default from Buyer-Seller Transaction Networks

Junghoon Kim, Hyunsung Kim, Seungyoon Choi, Kyoungyong Park, Jihun Lee, Yonggu Ji, Chanyoung Park

ELASTIC: Trajectory-Based Synchronization of Event and Tracking Data in Soccer

Hyunsung Kim, Hoyoung Choi, Kunhee Lee, Sangwoo Seo, Tom Boomstra, Jinsung Yoon, Chanyoung Park

FIETA: Few-Shot Inductive Knowledge Graph Completion via Task-Aware Graph Neural Networks

C. Chung, M. Hwang, and J. J. Whang*

GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection

W. Koo, J. Lee, T. Yoon, and H. Kim

HyBrain: Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction

Hyunju Kim, Sheo Yon Jhin, Noseong Park, and Nabil Imam

Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search

Gyu-Hwung Cho, Youngjune Lee, Kiyoon Jeong, Siyoung Lee, Sanggyu Han, Hervé Dejean, Stéphane Clinchant, Seung-won Hwang.

Reducing Representational Interference in Retrieval Embeddings with Trainable Prefix Tokens

Seongtae Hong, Youngjoon Jang, Jungseob Lee, Chanjun Park, Heuiseok Lim

Robust Node Classification via Noise-robust Views and Prototype Relabeling

Hoyoung Yoon, Junghun Kim, U Kang

SeleRT: Selective Retrieval of LLM Representations for Long-term Time Series Forecasting

Hyunwook Jeong, Youngwan Jo, Minwoo Hong, Sanghyun Park

Sipu: Accurate Graph-based Positive-Unlabeled Learning under Heterophily

Shihyung Park, Junghun Kim, U Kang

SpikeRec: Accurate and Preference-Preserving Live-Streaming Recommendation under User-Sampled Signal Loss

Jeongmin An, Jaeri Lee, U Kang

STAAR: Spatio-Temporal Attention over Adaptive Regions for Traffic Forecasting

Son, J., Na, J., Lee, U., and Lee, J.

Training-Free LLM-Based Recommendation with Post-LLM Item Refinement Using Collaborative Signals

Kyungho Kim, Sunwoo Kim, Geon Lee, Shinhwan Kang, Sojeong Kim, Liam Collins, Bhuvesh Kumar, Donald Loveland, Kijung Shin

A pivot-enhanced question answering framework: using iterative sub-question decomposition and answer-to-question verification

Seyeon Park, Beakcheol Jang

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation

Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin

Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation

Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim, Jaesik Choi

Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis

Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song

Context-aware Sequential Bundle Recommendation via User-specific Representations

Jaeri Lee, U Kang

Enhancing Medical Cross-Modal Hashing Retrieval using Dropout-Voting Mixture-of-Experts Fusion

Jae Won Ahn, Woo Sung Jang, Beakcheol Jang

Entity-Aware Generative Retrieval for Personalized Contexts

Jihyeong Jeon, Jiwon Lee, Cheol Ryu, U Kang

Frequency-Conditioned Diffusion Models for Time Series Generation

S. Jeong, J. Sohn, J. Jeon, H.-I. Suk

InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing

Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, and Jae W. Lee

Local Large Language Models for Recommendation

Yujin Jeon, Jooyoung Kim, Joonseok Lee

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction

Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang

NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance

Hanwool Lee*, Sara Yu*, Yewon Hwang*, Jonghyun Choi, Heejae Ahn, Sungbum Jung, Youngjae Yu

Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing

J. Jeon, S. Jeong, Y. Shon, H.-I. Suk

Quantized Factor Identifiable Causal Effect Variational Autoencoder

S. Song, J. Sohn, E. Kang, H.-I. Suk

S2Cap: A Benchmark and a Baseline for Singing Style Captioning

Hyunjong Ok, Jaeho Lee

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval

Jonghyun Song, Youngjune Lee, Gyu-Hwung Cho, Ilhyeon Song, Saehun Kim, Yohan Jo

SwaGNER: Leveraging Span-aware Grid Transformers for Accurate Nested Named Entity Recognition

SeungJoo Lee, Yong-chan Park, U Kang

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time

Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, and Kyomin Jung

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP

Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, Shinhyuck Kang, Young-Min Kim, and Hyunjoong Kang

CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection

Jihun Yi, Sungroh Yoon

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective

Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park