multi-domain

Count Anything is a generalist vision model for text-guided object counting across multiple domains, using dual-granularity instance enumeration and complementary counting fusion. It achieves strong accuracy and cross-domain generalization, outperforming existing open-world counting methods.

This paper proposes TopoPrior, a framework that learns transferable topology priors from offline reference collaboration graphs to generate initial topologies for multi-agent LLM collaboration across domains, significantly reducing online search overhead and token consumption.

Google is updating the Gemini Interactions API to replace strict user/model roles with a flexible step-based system (outputs + roles → steps), introducing agentic steps like user_input, thought, function_call, tool_call, and model_output. The update also consolidates response_format controls and requires SDK upgrades (Python/JS ≥2.0.0) or a new API header to opt-in.