Search papers, labs, and topics across Lattice.
5
0
5
3
Current AI memory systems struggle with fine-grained relational discrimination, revealing critical gaps in their ability to manage complex memory interactions over time.
LatentSkill achieves a 21.4-point increase in task success while slashing prefill token usage by over 64%, revolutionizing how LLM agents utilize skills.
Stop wasting idle compute: ProAct agents anticipate user needs and proactively gather information, slashing task completion time and hallucinations.
LLM uncertainty can be efficiently estimated *without* sampling by measuring the stability of output distributions under semantically equivalent input perturbations.
LLM agent progress increasingly hinges on better external cognitive infrastructure, not just stronger models.
