Search papers, labs, and topics across Lattice.
7
0
10
Fine-tuning neural operators with PhysGuard can reduce low-frequency error by up to 32% under severe domain shifts, preserving essential physics while adapting to real-world data.
Cosine alignment in vision-language models may mislead researchers, as it correlates negatively with accuracy, revealing that latents are often bypassed in reasoning.
Noise in multi-behavior recommendation can be effectively mitigated through a novel spectral filtering approach that enhances representation purity and reliability.
UCE enables LLM agents to evolve their knowledge dynamically, achieving a staggering 96.3% success rate in complex tasks by leveraging a structured experience library.
Merging RL experts effectively requires balancing sharp, informative signals with stable, dispersed components, a challenge that ResMerge addresses with innovative spectral techniques.
LLM agents trained with simulated user and tool noise not only become more robust in messy real-world environments, but also surprisingly improve on clean, idealized benchmarks.
Hallucination mitigation in LVLMs doesn't have to come at the cost of general performance: MPD reduces hallucinations by 23.4% while *improving* overall generative capabilities.
