Grammatical error correction: A survey of the state of the art

C Bryant, Z Yuan, MR Qorib, H Cao, HT Ng… - Computational …, 2023‏ - direct.mit.edu
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 …

Adapting large language models for education: Foundational capabilities, potentials, and challenges

Q Li, L Fu, W Zhang, X Chen, J Yu, W **a… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …

Encouraging divergent thinking in large language models through multi-agent debate

T Liang, Z He, W Jiao, X Wang, Y Wang… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Modern large language models (LLMs) like ChatGPT have shown remarkable performance
on general language tasks but still struggle on complex reasoning tasks, which drives the …

Quilt-1m: One million image-text pairs for histopathology

W Ikezogwo, S Seyfioglu, F Ghezloo… - Advances in neural …, 2023‏ - proceedings.neurips.cc
Recent accelerations in multi-modal applications have been made possible with the
plethora of image and text data available online. However, the scarcity of analogous data in …

Exploring human-like translation strategy with large language models

Z He, T Liang, W Jiao, Z Zhang, Y Yang… - Transactions of the …, 2024‏ - direct.mit.edu
Large language models (LLMs) have demonstrated impressive capabilities in general
scenarios, exhibiting a level of aptitude that approaches, in some aspects even surpasses …

A survey of safety and trustworthiness of large language models through the lens of verification and validation

X Huang, W Ruan, W Huang, G **, Y Dong… - Artificial Intelligence …, 2024‏ - Springer
Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

Biasasker: Measuring the bias in conversational ai system

Y Wan, W Wang, P He, J Gu, H Bai… - Proceedings of the 31st …, 2023‏ - dl.acm.org
Powered by advanced Artificial Intelligence (AI) techniques, conversational AI systems, such
as ChatGPT, and digital assistants like Siri, have been widely deployed in daily life …

On the application of Large Language Models for language teaching and assessment technology

A Caines, L Benedetto, S Taslimipoor, C Davis… - arxiv preprint arxiv …, 2023‏ - arxiv.org
The recent release of very large language models such as PaLM and GPT-4 has made an
unprecedented impact in the popular media and public consciousness, giving rise to a …

ParroT: Translating during chat using large language models tuned with human translation and feedback

W Jiao, J Huang, W Wang, Z He, T Liang… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Large language models (LLMs) like ChatGPT have exhibited remarkable abilities on a wide
range of natural language processing~(NLP) tasks, including various machine translation …

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

J Huang, EJ Li, MH Lam, T Liang, W Wang… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Decision-making is a complex process requiring diverse abilities, making it an excellent
framework for evaluating Large Language Models (LLMs). Researchers have examined …