Search papers, labs, and topics across Lattice.
6
3
11
5
Omni-modal foundation models achieve self-improvement via RL compute scaled to 1M context, leveraging asynchronous training and agentic grading for enhanced intelligence.
HPC-Ops Top-K is presented, a sample-guided exact selector for ragged sparse-attention score rows that outperforms the fastest verified external exact baseline and outperforms the fastest verified external exact baseline on indexer scores from Hy4-Preview.
Achieving state-of-the-art performance with 72% fewer parameters, CrossMambaTuning redefines efficiency in adapting image compression models for machine vision.
Training LLM agents without expert supervision can lead to better performance and generalization across diverse environments.
