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20222026
most citedRelational Self-Supervised Learning on Graphs

21 citations · 99 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents

Dongki Kim, Namkyeong Lee, Surag Nair +7

As agents rapidly evolve, existing benchmarks can become saturated, limiting their ability to distinguish capabilities and reveal remaining failure modes. Particularly in scientifi…

cs.AI2026

MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning

Heewoong Noh, Gyoung S. Na, Namkyeong Lee +1

Material synthesis planning (MSP) remains a fundamental and underexplored bottleneck in AI-driven materials discovery, as it requires not only identifying suitable precursor materi…

cs.AI2025★ 2 cited

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra

Heewoong Noh, Namkyeong Lee, Gyoung S. Na +2

Spectral analysis provides crucial clues for the elucidation of unknown materials. Among various techniques, infrared spectroscopy (IR) plays an important role in laboratory settin…

cs.AI2025★ 1 cited

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models

Junmo Kim, Namkyeong Lee, Jiwon Kim +1

Electronic health record (EHR) foundation models have been an area ripe for exploration with their improved performance in various medical tasks. Despite the rapid advances, there…

cs.AI2024★ 1 cited

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models

Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park +1

Recently, there has been a growing interest among researchers in understanding molecules and their textual descriptions through molecule language models (MoLM). However, despite so…