LLM-based personal agents are emerging as persistent carriers of user semantics and intermediaries between users and recommendation platforms, maintaining richer user knowledge locally. As agents interact with one another, the conventional \textit{User--Platform} relation evolves into a \textit{User--Agent Web--Platfor...
Hao-Ran Qiang, Guan-Nan Liu, Liang Zhang et al.· 0 citations
Integer linear programming (ILP) plays a pivotal role in combinatorial optimization, with applications ranging from logistics to scheduling. Recently, unsupervised learning has emerged as a promising paradigm for solving ILPs without costly labeled solutions. However, existing methods often converge prematurely to pola...
Yufan Deng, Tian-Le Pu, Zhijing Hu et al.· Proceedings of the 32nd ACM...· 0 citations
This work introduces \textsc{UpliftMem}, which learns memory retrieval from set-level execution uplift relative to the same executor without memory, and achieves the best success rates among evaluated baselines on the main evaluation sets.
Meng-Kun Liang, Hao-Ran Qiang, Guan-Nan Liu et al.· 0 citations
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