Lattice AI Research

Research focus

Natural Language Processing (2)Data Curation & Synthetic Data (1)Eval Frameworks & Benchmarks (1)Inference & Quantization (1)Training Efficiency & Optimization (1)

Frequent co-authors

Hyeonseok Moon (2)Heuiseok Lim (2)Youngjoon Jang (1)Young-kyoung Ham (1)

Papers (2)

Apr 28, 2026

Youngjoon Jang +7Apr 28, 2026·also Korea U, NAVER Labs

LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model

Forget generic legal LLMs – LegalMidm shows that focusing on specific Korean legal use cases, with data curated by legal pros, unlocks real-world performance gains.

Youngjoon Jang, Chanhee Park, Hyeonseok Moon +5

Data Curation & Synthetic Data Eval Frameworks & Benchmarks Natural Language Processing

Apr 8, 2026

Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation

LLMs can now perform inference without ever seeing raw text, opening the door to privacy-preserving applications without sacrificing performance.

Jeongho Yoon, Chanhee Park, YongChan Chun +4

Inference & Quantization Natural Language Processing Training Efficiency & Optimization

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Chanhee Park

Research focus

Frequent co-authors

Papers (2)