JungMok Lee

According to our database, JungMok Lee authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Efficient Hyper-Parameter Search for LoRA via Language-aided Bayesian Optimization.

Seong-Eun Baek, JungMok Lee, Sung-Bin Kim, Tae-Hyun Oh

CoRR, February, 2026

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval.

Kyeong Seon Kim, Seong-Eun Baek, JungMok Lee, Tae-Hyun Oh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter.

JungMok Lee, Sung-Bin Kim, Joohyun Chang, Lee Hyun, Tae-Hyun Oh

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

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

JungMok Lee, Nam Hyeon-Woo, Moon Ye-Bin, Junhyun Nam, Tae-Hyun Oh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Sung-Bin Kim, Oh Hyun-Bin, JungMok Lee, Arda Senocak, Joon Son Chung, Tae-Hyun Oh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025