Search papers, labs, and topics across Lattice.
5
0
9
2
Untangling evidence validation from text generation, ArbGraph offers a way to build more reliable long-form RAG systems by explicitly resolving factual conflicts *before* generation even begins.
LLMs can now navigate 100-turn multimodal search tasks without context explosion, thanks to a file-based visual representation that slashes token costs.
Autonomous ML research agents achieve significantly better long-horizon performance by maintaining durable state through a shared workspace, suggesting that orchestration and memory are more critical than raw reasoning power.
LLMs' training trajectories in RLVR are more predictable than you think: modeling the non-linear evolution of a rank-1 subspace lets you extrapolate parameters and cut compute by 37.5%.
Clinical AI can achieve clinician-level diagnostic accuracy and continuous improvement via a self-evolving framework that actively learns from clinical experience.
