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cs.CL2025
Trillion 7B Technical Report
Sungjun Han, Juyoung Suk, Suyeong An +5
We introduce Trillion-7B, the most token-efficient Korean-centric multilingual LLM available. Our novel Cross-lingual Document Attention (XLDA) mechanism enables highly efficient a…
cs.CL2025
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge
Heegyu Kim, Taeyang Jeon, Seungtaek Choi +12
Materials synthesis is vital for innovations such as energy storage, catalysis, electronics, and biomedical devices. Yet, the process relies heavily on empirical, trial-and-error m…