collaborators

7 papers

physics.chem-ph2026

MDArena: Evaluating Coding Agents on Realistic Molecular Dynamics Workflows

Nithishwer Mouroug Anand, Wei-Tse Hsu, Kyle Vaccaro +6

Accelerating scientific discovery is among the most consequential applications of AI, and computational biomolecular simulation stands out as a particularly promising target within…

cs.RO2026

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation

Byeongguk Jeon, Seonghyeon Ye, JaeHyeok Doo +4

Video world models are emerging as a scalable alternative for evaluating generalist robot policies, bypassing the physical constraints and engineering burdens of real-world deploym…

cs.LG2026

Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy

JaeHyeok Doo, Byeongguk Jeon, Seonghyeon Ye +2

There is growing interest in utilizing flow-based models as decision-making policies in reinforcement learning due to their high expressive capacity. However, effectively leveragin…

cs.CL2026

Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models

Jiyeon Kim, Sungik Choi, Yongrae Jo +2

Diffusion-based language models (dLLMs) have emerged as a promising alternative to autoregressive language models, offering the potential for parallel token generation and bidirect…

cs.CL2026

Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams

Jiyeon Kim, Hyunji Lee, Dylan Zhou +6

LLMs operating in dynamic real-world contexts often encounter knowledge that evolves continuously or emerges incrementally. To remain accurate and effective, models must adapt to n…

cs.CV2024

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models

Hyeongmin Lee, Jin-Young Kim, Kyungjune Baek +18

In this work, we discuss evaluating video foundation models in a fair and robust manner. Unlike language or image foundation models, many video foundation models are evaluated with…

cs.MM2024

Pegasus-v1 Technical Report

Raehyuk Jung, Hyojun Go, Jaehyuk Yi +41

This technical report introduces Pegasus-1, a multimodal language model specialized in video content understanding and interaction through natural language. Pegasus-1 is designed t…