Turnitin
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Gee! grammar error explanation with large language models
Leveraging Biases in Large Language Models:" bias-kNN" for Effective Few-Shot Learning
Y Zhang, H Li, Z Li, N Cheng, M Li… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have shown significant promise in various applications,
including zero-shot and few-shot learning. However, their performance can be hampered by …
including zero-shot and few-shot learning. However, their performance can be hampered by …
Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
Error type information has been widely used to improve the performance of grammatical
error correction (GEC) models, whether for generating corrections, re-ranking them, or …
error correction (GEC) models, whether for generating corrections, re-ranking them, or …
Position: LLMs Can be Good Tutors in Foreign Language Education
While recent efforts have begun integrating large language models (LLMs) into foreign
language education (FLE), they often rely on traditional approaches to learning tasks without …
language education (FLE), they often rely on traditional approaches to learning tasks without …
Exploring sentence-level revision capabilities of llms in english for academic purposes writing assistance
Z Du, K Hashimoto - 2024 - researchsquare.com
Abstract The English for Academic Purposes (EAP) is pivotal for scholarly communication;
however, it poses significant challenges for non-native English speakers. Recently, Large …
however, it poses significant challenges for non-native English speakers. Recently, Large …