2 papers
cs.LG2026
GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
Guanghui Min, Tianhao Huang, Ke Wan +1
Targeted data selection has emerged as a crucial paradigm for efficient instruction tuning, aiming to identify a small yet influential subset of training examples for a specific ta…
cs.AI2026
Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
Tianhao Huang, Guanghui Min, Zhenyu Lei +2
Unraveling how macroscopic cognitive phenotypes emerge from microscopic neuronal connectivity remains one of the core pursuits of neuroscience. To this end, researchers typically l…