User Behavior Modeling on Alipay 10 Scenarios (test) benchmark leaderboard · SOTA2 Research

User Behavior Modeling on Alipay 10 Scenarios (test)

0.6678ActiveQ-Anchor (Prompt Tuned)

Evaluation Results

Method	Links
Q-Anchor (Prompt Tuned)2026.02		0.6678	0.5844	0.8443	0.9716	0.9242	0.9439	0.8811	0.8535	0.635	0.9194	0.8225	—
One4all2026.02		0.6515	0.5568	0.9509	0.9614	0.9203	0.8782	0.7609	0.6289	0.5761	0.8207	0.7706	—
CPC2026.02		0.6506	0.5314	0.9506	0.9608	0.9171	0.8736	0.7817	0.6235	0.6101	0.8259	0.7725	—
MSDP2026.02		0.6415	0.5155	0.9504	0.958	0.9152	0.8746	0.7814	0.6318	0.585	0.8389	0.7692	—
Q-Anchor (Base)2026.02		0.6368	0.5739	0.842	0.97	0.9218	0.9382	0.8799	0.7979	0.6189	0.9049	0.8104	—
FOUND2026.02		0.6201	0.5527	0.8131	0.9573	0.9083	0.9235	0.8528	0.7294	0.6202	0.8544	0.7832	—
Llama-Embed-Nemotron-8B2026.02		0.5882	0.5627	0.7735	0.8372	0.8632	0.8708	0.8176	0.7525	0.5918	0.8303	0.7488	—
KaLM-Embed-Gemma2-9B2026.02		0.5597	0.5359	0.7609	0.7729	0.8229	0.8174	0.7812	0.6564	0.589	0.7609	0.7058	—
Qwen2-Embedding-0.6B2026.02		0.5378	0.5226	0.7294	0.7287	0.7106	0.7123	0.6914	0.6076	0.5508	0.7172	0.6508	—
Qwen2.5-0.5B-Instruct2026.02		0.5269	0.5173	0.7219	0.7161	0.6969	0.6885	0.6361	0.5855	0.5483	0.7134	0.6351	—