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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Tian-Yi Xu

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3 papers indexed here

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Preprint Oct 2026

EvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement?

Recursive self-improvement (RSI) relies on evaluation feedback to assess progress and guide further research, yet repeatedly running complex benchmarks is costly and slows iteration. Human experts reduce this cost by selecting benchmark subsets or designing compact suites. We ask whether AI agents can automate this des...

Yao Zhang, Tian-Yi Xu, Yu-Jie Zhao et al. · 1 citation
#artificial intelligence Preprint Oct 2026

EvalResearchBench: Can AI Agents Design Their Own Evaluations?

Recursive self-improvement (RSI) relies on evaluation feedback to assess progress and guide further research, yet repeatedly running complex benchmarks is costly and slows iteration. Human experts reduce this cost by selecting benchmark subsets or designing compact suites. We ask whether AI agents can automate this des...

Yao Zhang, Tian-Yi Xu, Yu-Jie Zhao et al. · 0 citations
#artificial intelligence Jan 2026

MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation

Evaluations across nine languages reveal that many low-resource languages suffer large performance drops when tested on digit instantiations different from those in the original test set, and it is found that models robustness in HRL setting do not necessarily translate to LRL.

Tian-Yi Xu, Kosei Uemura, Alfred Malengo Kondoro et al. · 4 citations

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