Search papers, labs, and topics across Lattice.
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SkillGate achieves a 30% boost in trial success for long-horizon agents by fundamentally rethinking how skill selection is rewarded during execution.
ConFL achieves a remarkable MRR of 0.503, showcasing a leap in fault localization accuracy for concurrent bugs that traditional methods struggle with.
VAD reveals that isolating visual evidence can dramatically improve target reconstruction in multimodal learning, leading to more accurate student outputs.
Clarus transforms the landscape of scientific collaboration by enabling autonomous agents to work together in a structured, traceable, and resource-aware manner.
AgentDoG 1.5 proves you can achieve GPT-5.4-level agent safety with open-source models trained on just 1k samples, slashing deployment overhead by two orders of magnitude.
Code-executing agents can autonomously generate new, solvable math problems that are harder than existing ones, offering a scalable solution to the bottleneck of high-quality training data for advanced LLMs.
General-purpose LLM agents stumble badly when faced with the messy reality of diverse, multi-domain tasks, and simply scaling interactions or parallel sampling doesn't fix it.
