Jie Jiang

LLM agents can learn to use tools more efficiently and accurately by explicitly learning when *not* to use them, leading to a 25% increase in tool productivity.

Revitalizing target-specific control within latent-query architectures for sequential CTR prediction yields consistent performance gains across diverse datasets and backbones, especially when combined with a simple position-aware reference.