Genomic prediction can accelerate crop breeding by predicting phenotypes from genome-wide SNP sequences. In practice, this task operates in a severe p \gg n regime, hundreds of thousands to millions of SNPs but only thousands of samples, making end-to-end deep learning prone to overfitting. Genomic foundation models he...
Hua-Chi Zhou, Jia-He Du, Yu-Jing Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
This paper examines Data Agents from a harness-centric perspective, introducing a taxonomy of Data Agents and associated data environments, and identifying four open reliability problems: inactive semantic calibration, missing clarification, missing experience transfer, and the missing verification-repair repository.
Hua-Chi Zhou, Yu-Jing Zhang, Jia-He Du et al.· 0 citations
Org-Agent is introduced, a unified constraint-centric reasoning framework that organizes task execution in three stages and decomposes a task into atomic subtasks and constructs a task dependency graph whose edges encode the dependencies among them.
Lu-Yao Zhuang, Yu-Jing Zhang, Zi-Jin Hong et al.· 0 citations
Graph Engineering is introduced, an emerging paradigm for next-generation agent systems that provides a unified foundation for organizing complex objectives, orchestrating heterogeneous agents, modeling system dynamics, and enabling scalable agent evolution.
Yu-Yuan Feng, Zhi-Shang Xiang, Chao Yang et al.· 5 citations
The results show that structured agent memory need not generate an intermediate representation of the past, and Zero-Mem achieves competitive performance while eliminating LLM calls and LLM-token consumption from memory operations.
