Search papers, labs, and topics across Lattice.
Korea University
4
0
6
DART boosts reasoning accuracy by up to 22.5 points while slashing thinking token usage by over 50%, all without requiring labeled training data.
SHIFT effectively eliminates language bias in multilingual information retrieval, enhancing access to semantically relevant documents across diverse languages.
Llamion proves you can transplant a model's brain (capabilities like long context and coding) into a new body (Llama architecture) with minimal training, opening the door to easier architecture upgrades and model merging.
Unlock high-performance sparse retrieval in any language: SemBridge's smart initialization closes the cross-lingual gap without sacrificing precision.
