The first fully automated framework that synthesizes high-quality, proof-centric benchmarks from natural language mathematical corpora and a new type of hybrid-formatted questions, named ``$m$-out-of-$n$ multiple judge questions'', specifically designed to enable robust, automatic evaluation while being resilient to guessing and superficial pattern matching inherent in traditional formats are proposed.
Ye-Bo Peng, Zixiang Liu, Yao-Ming Li et al.· arXiv.org· 1 citation
The core of SSVAL is Visual Anchor Prompt Injection (VAPI), which introduces prompts that absorb rich knowledge from external VFMs during training, enabling them to serve as stable visual anchors that mitigate representation deviation during inference.
Qian-Long Yang, Bowen Ye, Xianda Guo et al.· 0 citations
CoEvo-Mem alternates between updating the router with the memory bank fixed and evolving the memory bank with the retrieval policy fixed, demonstrating the importance of retrieval-memory coevolution.
Bowen Ye, Yongchao Xu, Zhijian Li et al.· 0 citations
This work introduces PersonaForge, a user simulation framework for synthesizing realistic multi-turn user--agent interactions that combines a four-dimensional persona space, SOUL-driven behavioral control calibrated to real-user statistics, and Reverse Deep Construction grounded in authentic seed queries.
Hanglong Lv, Dawei Zhu, Lei Li et al.· 0 citations
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