24,909 research outputs found
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Large-scale language models (LLMs) has shown remarkable capability in various
of Natural Language Processing (NLP) tasks and attracted lots of attention
recently. However, some studies indicated that large language models fail to
achieve promising result beyond the state-of-the-art models in English
grammatical error correction (GEC) tasks. In this report, we aim to explore the
how large language models perform on Chinese grammatical error correction tasks
and provide guidance for future work. We conduct experiments with 3 different
LLMs of different model scale on 4 Chinese GEC dataset. Our experimental
results indicate that the performances of LLMs on automatic evaluation metrics
falls short of the previous sota models because of the problem of
over-correction. Furthermore, we also discover notable variations in the
performance of LLMs when evaluated on different data distributions. Our
findings demonstrates that further investigation is required for the
application of LLMs on Chinese GEC task
Intersection control with connected and automated vehicles: a review
Purpose: This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs). Design/methodology/approach: The most seminal and recent research in this area is reviewed. This study specifically focuses on two categories: CAV trajectory planning and joint intersection and CAV control. Findings: It is found that there is a lack of widely recognized benchmarks in this area, which hinders the validation and demonstration of new studies. Originality/value: In this review, the authors focus on the methodological approaches taken to empower intersection control with CAVs. The authors hope the present review could shed light on the state-of-the-art methods, research gaps and future research directions
- …