Layer-level pruning is attractive for large language model (LLM) deployment as it reduces the model size while preserving a dense architecture that can be efficiently executed on standard hardware. Current methods typically follow a one-shot paradigm, which first removes selected layers to reach a target model size and...
Liang-Sheng Xu, Shu-Fan Shen, Zhong-Ni Hou et al.· 0 citations
To address the challenges of strong matrix heterogeneity, a limited flooding sweep range, and low oil displacement efficiency in high‐salinity and high‐water‐cut tight reservoirs, an amphiphilic monomer (OEMA) was introduced via aqueous dispersion polymerization to synthesize a profile control agent (SMAA‐n) with e...
Jin-Hao Gao, Jin-Tian Wu, Yu-Yu Xue et al.· Journal of Applied Polymer S...· 0 citations
The proposed ToolEX (Tool Equivalent eXpansion), a framework that automatically discovers and annotates the tool combinations functionally equivalent to the labeled ones, and confirms that the one-to-one problem extends beyond tool retrieval.
Yan-Yu Zhu, Chen-Heng Zhang, Shao-Shen Chen et al.· 0 citations
Temporal Semantic Memory is proposed, a memory framework that models semantic time for point-wise memory and supports the construction and utilization of durative memory and incorporates the query's temporal intent on the semantic timeline.
Miao Su, Yu-Can Guo, Zhong-Ni Hou et al.· Annual Meeting of the Associ...· 12 citations
This work proposes ATLAS, a dual-horizon diagnostic evaluation framework for industrial tool-use agents that instantiates LLM judge interfaces as executable signals with explicit evidence scopes and decision boundaries, and evaluates ATLAS on Meituan Xiaotuan production traffic.
Wei Chen, Pei-Lun Zhou, Zhao-Yu Hu et al.· 0 citations
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