Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …

Artificial Intelligence is at the heart of modern society with computers now capable of making
process decisions in many spheres of human activity. In education, there has been intensive …

A prompt injection attack aims to inject malicious instruction/data into the input of an LLM-
Integrated Application such that it produces results as an attacker desires. Existing works are …

This paper investigates the ability of artificial neural networks to judge the grammatical
acceptability of a sentence, with the goal of testing their linguistic competence. We introduce …

Abstract We introduce The Benchmark of Linguistic Minimal Pairs (BLiMP), a challenge set
for evaluating the linguistic knowledge of language models (LMs) on major grammatical …

Style transfer is the task of automatically transforming a piece of text in one particular style
into another. A major barrier to progress in this field has been a lack of training and …

Large Language Models (LLMs) are increasingly deployed as the backend for a variety of
real-world applications called LLM-Integrated Applications. Multiple recent works showed …

The question of whether humans represent grammatical knowledge as a binary condition on
membership in a set of well‐formed sentences, or as a probabilistic property has been the …

Grammatical Error Correction (GEC) has been recently modeled using the sequence-to-
sequence framework. However, unlike sequence transduction problems such as machine …

Grammatical error correction (GEC) is an important application aspect of natural language
processing techniques, and GEC system is a kind of very important intelligent system that …