Evaluation of openai o1: Opportunities and challenges of agi

T Zhong, Z Liu, Y Pan, Y Zhang, Y Zhou… - arxiv preprint arxiv …, 2024 - arxiv.org
This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …

Transcending language boundaries: Harnessing llms for low-resource language translation

P Shu, J Chen, Z Liu, H Wang, Z Wu, T Zhong… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable success across a wide
range of tasks and domains. However, their performance in low-resource language …

Llempower: Understanding disparities in the control and access of large language models

V Sathish, H Lin, AK Kamath… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) are a powerful technology that augment human skill to
create new opportunities, akin to the development of steam engines and the internet …

Legal evalutions and challenges of large language models

J Wang, H Zhao, Z Yang, P Shu, J Chen, H Sun… - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we review legal testing methods based on Large Language Models (LLMs),
using the OPENAI o1 model as a case study to evaluate the performance of large models in …

Large language models for manufacturing

Y Li, H Zhao, H Jiang, Y Pan, Z Liu, Z Wu, P Shu… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advances in Large Language Models (LLMs) have the potential to transform
manufacturing industry, offering new opportunities to optimize processes, improve efficiency …

Foundation Models for Low-Resource Language Education (Vision Paper)

Z Ding, Z Liu, H Jiang, Y Gao, X Zhai, T Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent studies show that large language models (LLMs) are powerful tools for working with
natural language, bringing advances in many areas of computational linguistics. However …

QueEn: A Large Language Model for Quechua-English Translation

J Chen, P Shu, Y Li, H Zhao, H Jiang, Y Pan… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent studies show that large language models (LLMs) are powerful tools for working with
natural language, bringing advances in many areas of computational linguistics. However …

Examining the commitments and difficulties inherent in multimodal foundation models for street view imagery

Z Yang, X Lin, Q He, Z Huang, Z Liu, H Jiang… - arxiv preprint arxiv …, 2024 - arxiv.org
The emergence of Large Language Models (LLMs) and multimodal foundation models
(FMs) has generated heightened interest in their applications that integrate vision and …

Large Language Models for Bioinformatics

W Ruan, Y Lyu, J Zhang, J Cai, P Shu, Y Ge… - arxiv preprint arxiv …, 2025 - arxiv.org
With the rapid advancements in large language model (LLM) technology and the
emergence of bioinformatics-specific language models (BioLMs), there is a growing need for …

Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students

U Lee, H Kim, J Eom, H Jeong, S Lee, G Byun… - arxiv preprint arxiv …, 2025 - arxiv.org
Autistic students often face challenges in social interaction, which can hinder their
educational and personal development. This study introduces Echo-Teddy, a Large …