With the unprecedented development of smart mobile devices (SMDs), eg, Internet-of-Things
devices and smartphones, various computation-intensive applications are explosively …

We present an approach to capture the 3D structure and motion of a group of people
engaged in a social interaction. The core challenges in capturing social interactions are:(1) …

Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …

Understanding in-context learning (ICL) capability that enables large language models (LLMs)
to excel in proficiency through demonstration examples is of utmost importance. This …

Vehicle routing is a well-known optimization research topic with significant practical
importance. Among different approaches to solving vehicle routing, heuristics can produce a …

Meta-heuristic algorithms search the problem solution space to obtain a satisfactory solution
within a reasonable timeframe. By combining domain knowledge of the specific optimization …

A challenge in the chemistry of the lanthanide ions is to develop luminescent Eu complexes
that can be sensitized by visible light and to determine the energy-transfer mechanisms in …

The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
continually poses serious threats to global public health. The main protease (M pro …

Population and income growth are increasing global food demand at a time when a third of
the world’s agricultural soils are degraded and climate variability threatens the sustainability …

This paper concerns the problem of aligning samples from large language models to human
preferences using* best-of-$ n $* sampling, where we draw $ n $ samples, rank them, and …