Microbial cell factories (MCFs) have been leveraged to construct sustainable platforms for
value-added compound production. To optimize metabolism and reach optimal productivity, …

Off-policy evaluation (OPE) is widely applied in sectors such as pharmaceuticals and e-commerce
to evaluate the efficacy of novel products or policies from offline datasets. This paper …

Accurate spatial-temporal prediction of network-based travelers' requests is crucial for the
effective policy design of ridesharing platforms. Having knowledge of the total demand …

Large Language Models (LLMs) and Vision-Language Models (VLMs) have become essential
to general artificial intelligence, exhibiting remarkable capabilities in task understanding …

Relation extraction (RE) is a core task in natural language processing. Traditional approaches
typically frame RE as a supervised learning problem, directly mapping context to labels-…

Large Language Models (LLMs) and Vision Language Models (VLMs) have become
essential to general artificial intelligence, demonstrating impressive capabilities in task …

In this paper, we introduce a non-crossing quantile (NQ) network for conditional distribution
learning. By leveraging non-negative activation functions, the NQ network ensures that the …

Relationship extraction (RE) is a core task in natural language processing. Traditional
approaches typically frame RE as a supervised learning problem, directly mapping context to …

MnOx-CeO2 with various Mn/Ce ratios were prepared by co-precipitation method, and the
results of temperature programmed oxidation (TPO) test revealed that, when exposed to 1 000 …

Zero-Shot Object Navigation (ZSON) enables agents to navigate towards open-vocabulary
objects in unknown environments. The existing works of ZSON mainly focus on following …