SitCom: Scaling Egocentric Multi-Party Spoken Dialogue for Situated Communication Assistance

Heeseung Yun*, Sehun Lee*, Tony Woo, Yoonji Nam, Sung-Feng Huang, Chao-Han Huck Yang, Gunhee Kim

Data-Centric AI NeurIPS 2026

SitCom: Scaling Egocentric Multi-Party Spoken Dialogue for Situated Communication Assistance

PHUMA: Physically Reliable Humanoid Locomotion Dataset

Kyungmin Lee, Sibeen Kim, Youngdo Lee, Minho Park, Hyunseung Kim, Dongyoon Hwang, Donghu Kim, Hojoon Lee, Jaegul Choo

Data-Centric AI CoRL 2026 Spotlight

PHUMA: Physically Reliable Humanoid Locomotion Dataset

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving

Seungjun Yu, Seonho Lee, Namho Kim, Jaeyo Shin, Junsung Park, Wonjeong Ryu, Raehyuk Jung, Hyunjung Shim

Data-Centric AI EMNLP Findings

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving

KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

Haechan Kim, Seungjun Chung, Inkyu Park, Jihoo Lee, Jonghyun Lee

Data-Centric AI EMNLP Findings

KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

Every Dog Has Its Day, Probably: A Balanced Synthetic Benchmark and Probabilistic Modeling for 3D Dog Pose Estimation

Joo Young Choi*, Wonkwang Lee*, Ju-hyeong Seon, Gunhee Kim

Data-centric AI ECCV 2026

Every Dog Has Its Day, Probably: A Balanced Synthetic Benchmark and Probabilistic Modeling for 3D Dog Pose Estimation

RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming

Minsu Kim, Junwoo Park, Chanho Lee, Gibum Seo, Steven Euijong Whang, Hyuck Lee

Data-centric AI KDD 2026

RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming

Channel Normalization for Time Series Channel Identification

Seunghan Lee, Taeyoung Park, Kibok Lee

Data-centric AI ICML 2025

Channel Normalization for Time Series Channel Identification

Active Learning for Continual Learning: Keeping the Past Alive in the Present

Jaehyeon Park, Dongmin Park, Jae-Gil Lee

Data-centric AI ICLR 2025

Active Learning for Continual Learning: Keeping the Past Alive in the Present

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

Data-centric AI ICML 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

iGraphMix: Input Graph Mixup Method for Node Classification

Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo, Geonsoo Kim, Jin Seon Kim

Data-centric AI ICLR 2024

iGraphMix: Input Graph Mixup Method for Node Classification