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Related papers: From GPT-3 to GPT-5: Mapping their capabilities, s…

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Large-scale generative language models such as GPT-3 are competitive few-shot learners. While these models are known to be able to jointly represent many different languages, their training data is dominated by English, potentially limiting…

Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that require an…

Computation and Language · Computer Science 2023-06-26 Yuetian Chen , Bowen Shi , Mei Si

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level…

Computation and Language · Computer Science 2023-04-13 Sifatkaur Dhingra , Manmeet Singh , Vaisakh SB , Neetiraj Malviya , Sukhpal Singh Gill

Context: ChatGPT and other large language models (LLMs) are widely used across healthcare, business, economics, engineering, and software engineering (SE). Despite their popularity, concerns persist about their reliability, especially their…

Software Engineering · Computer Science 2025-04-29 Vahid Garousi

Kuhn's framework of scientific progress (Kuhn, 1962) provides a useful framing of the paradigm shifts that have occurred in Artificial Intelligence over the last 60 years. The framework is also useful in understanding what is arguably a new…

Artificial Intelligence · Computer Science 2023-08-08 Vasant Dhar

In this research, we explore the efficacy and potential of Generative AI models, specifically focusing on their application in role-playing simulations exemplified through Spyfall, a renowned mafia-style game. By leveraging GPT-4's advanced…

Artificial Intelligence · Computer Science 2023-09-22 Munyeong Kim , Sungsu Kim

The rapid development of language-based artificial intelligence (AI) offers new possibilities for psychotherapy and assistive systems, particularly benefitting autistic individuals who often respond well to technology. Parents of autistic…

A series of influential studies established that large language models cannot reliably solve even simple planning tasks. We show that the latest generation of frontier models overturns this conclusion. We evaluate three families of frontier…

Artificial Intelligence · Computer Science 2026-05-18 Augusto B. Corrêa , André G. Pereira , Jendrik Seipp

With the rise of multimodal large language models, GPT-4o stands out as a pioneering model, driving us to evaluate its capabilities. This report assesses GPT-4o across various tasks to analyze its audio processing and reasoning abilities.…

Computation and Language · Computer Science 2025-02-17 Yu-Xiang Lin , Chih-Kai Yang , Wei-Chih Chen , Chen-An Li , Chien-yu Huang , Xuanjun Chen , Hung-yi Lee

Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders like depression. However, we have a limited understanding of…

Large language models (LLMs) have become mainstream technology with their versatile use cases and impressive performance. Despite the countless out-of-the-box applications, LLMs are still not reliable. A lot of work is being done to improve…

Computation and Language · Computer Science 2023-06-13 Aisha Khatun , Daniel G. Brown

We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B. They represent our most…

The recent breakthroughs in OpenAI's GPT4o model have demonstrated surprisingly good capabilities in image generation and editing, resulting in significant excitement in the community. This technical report presents the first-look…

Computer Vision and Pattern Recognition · Computer Science 2025-05-05 Zhiyuan Yan , Junyan Ye , Weijia Li , Zilong Huang , Shenghai Yuan , Xiangyang He , Kaiqing Lin , Jun He , Conghui He , Li Yuan

Autoregressive transformers have revolutionized generative models in language processing and shown substantial promise in image and video generation. However, these models face significant challenges when extended to 3D generation tasks due…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Jinzhi Zhang , Feng Xiong , Mu Xu

Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation across various domains, including medicine. We present a comprehensive evaluation of GPT-4, a state-of-the-art LLM, on…

Computation and Language · Computer Science 2023-04-13 Harsha Nori , Nicholas King , Scott Mayer McKinney , Dean Carignan , Eric Horvitz

Extant work shows that generative AI models such as GPT-3.5 and 4 perpetuate social stereotypes and biases. One concerning but less explored source of bias is ideology. Do GPT models take ideological stances on politically sensitive topics?…

Computation and Language · Computer Science 2024-09-11 Christina Walker , Joan C. Timoneda

This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the prompts advised by ChatGPT to trigger its translation ability…

Computation and Language · Computer Science 2023-11-03 Wenxiang Jiao , Wenxuan Wang , Jen-tse Huang , Xing Wang , Shuming Shi , Zhaopeng Tu

Large Language Models (LLMs) undergo continuous updates to improve user experience. However, prior research on the security and safety implications of LLMs has primarily focused on their specific versions, overlooking the impact of…

Cryptography and Security · Computer Science 2026-03-11 Yugeng Liu , Tianshuo Cong , Zhengyu Zhao , Michael Backes , Yun Shen , Yang Zhang

With the Generative Pre-trained Transformer 3.5 (GPT-3.5) exhibiting remarkable reasoning and comprehension abilities in Natural Language Processing (NLP), most Question Answering (QA) research has primarily centered around general QA tasks…

Computation and Language · Computer Science 2023-12-20 Bowen Zhao , Changkai Ji , Yuejie Zhang , Wen He , Yingwen Wang , Qing Wang , Rui Feng , Xiaobo Zhang

The evolution of Generative Pre-trained Transformer (GPT) models has led to significant advancements in various natural language processing applications, particularly in legal textual entailment. We present an analysis of GPT-3.5 (ChatGPT)…

Computation and Language · Computer Science 2023-09-12 Ha-Thanh Nguyen , Randy Goebel , Francesca Toni , Kostas Stathis , Ken Satoh