Jiaxiang Liu

Language-model-based agents operating over extended interaction horizons face persistent challenges in preserving temporally grounded information and maintaining behavioral consistency across sessions, a failure mode we term “soul erosion.” We present BMAM (Brain-inspired Multi-Agent Memory), a g...

Uplift modeling estimates individual-level treatment effects for personalized decisions in applications such as marketing and healthcare. Beyond binary treatments, many applications involve multi-valued treatments. As data are split across more groups, sparsity and imbalance pose challenges. We p...