JungMok Lee

I am a 2nd-year Master student at AMI Lab, where I work on multimodal perception, advised by Tae-Hyun Oh. I major in Department of Electrical Engineering at POSTECH.

I'm interested in computer vision, multimodal large language model, machine learning, and visual interpretation.

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Publications & Research

Automated Model Discovery via Multi-modal & Multi-step Pipeline

We present a multi-modal & multi-step pipeline for effective automated model discovery, using the multimodal LLM agents. We model the interpretation of time-series data using Gaussian Process kernel discovery.

Training-free Multimodal Embedding for Structure-Aware Retrieval of Scalable Vector Graphics and Images

We propose the first training-free multimodal embedding method that uses a Multimodal Large Language Model (MLLM) to project text, images, and SVG code into an aligned space.

AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models

We introduce a comprehensive audio-visual hallucination benchmark specifically designed to evaluate the perception and comprehension capabilities of audio-visual LLMs.

Design and source code from Jon Barron's website