2 papers
cs.LG2026
TIDE: Temporal Incremental Draft Engine for Self-Improving LLM Inference
Jiyoung Park, Hankyu Jang, Changseok Song +1
Speculative decoding can substantially accelerate LLM inference, but realizing its benefits in practice is challenging due to evolving workloads. We present TIDE (Temporal Incremen…
cs.CL2025
Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study
Junghwan Lim, Gangwon Jo, Sungmin Lee +16
We introduce Llama-3-Motif, a language model consisting of 102 billion parameters, specifically designed to enhance Korean capabilities while retaining strong performance in Englis…