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Yong-Shun Gong

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#artificial intelligence Review May 2026

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

This work proposes SkillMaster, a training framework that teaches agents to create new skills, refine existing skills, and select accumulated skills during task solving, and introduces DualAdv-GRPO, which separately estimates advantages for task-solving actions and skill-editing decisions, stabilizing joint training ac...

Min Yang, Jing-Hua Piao, Xuan-Ye Xia et al. · 7 citations
#artificial intelligence Preprint Sep 2026

GARDiff: Graph-Aligned Residual Diffusion for Probabilistic Multivariate Time-Series Forecasting

GARDiff, a Graph-Aligned Residual Diffusion framework for probabilistic multivariate time-series forecasting,Instead of treating deterministic-derived graphs as fixed diffusion conditions, GARDiff progressively adapts them to residual generation, improving probabilistic forecasting performance and uncertainty calibrati...

Rui-Na Han, Min Yang, Xu Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making

LLM agents are increasingly expected to support enterprise workflows, where tasks often involve missing information, uncertainty, feedback, and long-term trade-offs. However, existing enterprise and financial benchmarks mainly test static capabilities such as information extraction, numerical calculation, domain knowle...

Min Yang, Yi-Chen Pan, Jing-Hua Piao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models

Safety alignment trains large language models to refuse harmful requests stated plainly, but that training is applied mostly to surface form. Requests that only recontextualise the same operational content, changing how the model reads it, are therefore only weakly covered. The ASCII Attack is one such recontextualisat...

Dayong Gu, Yi-Fei Dong, Xing-Hao Yang et al. · 0 citations

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