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Providing evaluations to student work is a critical component of effective student learning, and automating its process can significantly reduce the workload on human graders. Automatic Short Answer Grading (ASAG) systems, enabled by…

计算与语言 · 计算机科学 2025-02-20 Chenyan Zhao , Mariana Silva , Seth Poulsen

Artificial intelligence generated content (AIGC), a rapidly advancing technology, is transforming content creation across domains, such as text, images, audio, and video. Its growing potential has attracted more and more researchers and…

人工智能 · 计算机科学 2026-03-03 Chengzhang Zhu , Luobin Cui , Ying Tang , Jiacun Wang

In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential of LLMs in automated…

计算与语言 · 计算机科学 2024-10-15 Subhankar Maity , Aniket Deroy

This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods. Through analysis of greedy search, beam search, top-k…

计算与语言 · 计算机科学 2024-04-03 Rohit Pandey , Hetvi Waghela , Sneha Rakshit , Aparna Rangari , Anjali Singh , Rahul Kumar , Ratnadeep Ghosal , Jaydip Sen

New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communication forms. Generative AI, leveraging…

人工智能 · 计算机科学 2023-07-19 Ted Selker

Reading comprehension tests are used in a variety of applications, reaching from education to assessing the comprehensibility of simplified texts. However, creating such tests manually and ensuring their quality is difficult and…

计算与语言 · 计算机科学 2024-05-22 Andreas Säuberli , Simon Clematide

Background: Recently, ChatGPT and similar generative AI models have attracted hundreds of millions of users and become part of the public discourse. Many believe that such models will disrupt society and will result in a significant change…

计算与语言 · 计算机科学 2023-04-28 Steffen Herbold , Annette Hautli-Janisz , Ute Heuer , Zlata Kikteva , Alexander Trautsch

$ $The usage of generative artificial intelligence (AI) tools based on large language models, including ChatGPT, Bard, and Claude, for text generation has many exciting applications with the potential for phenomenal productivity gains. One…

计算与语言 · 计算机科学 2024-01-01 Antônio Junior Alves Caiado , Michael Hahsler

Today, AI technology is showing its strengths in almost every industry and walks of life. From text generation, text summarization, chatbots, NLP is being used widely. One such paradigm is automatic code generation. An AI could be…

人工智能 · 计算机科学 2021-08-24 Aishwarya Narasimhan , Krishna Prasad Agara Venkatesha Rao , Veena M B

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

Humans can develop new theorems to explore broader and more complex mathematical results. While current generative language models (LMs) have achieved significant improvement in automatically proving theorems, their ability to generate new…

计算与语言 · 计算机科学 2024-05-14 Xiaohan Lin , Qingxing Cao , Yinya Huang , Zhicheng Yang , Zhengying Liu , Zhenguo Li , Xiaodan Liang

Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cognitive tasks (e.g., generating ideas and turning them into…

This research presents and compares multiple approaches to automate the generation of literature reviews using several Natural Language Processing (NLP) techniques and retrieval-augmented generation (RAG) with a Large Language Model (LLM).…

计算与语言 · 计算机科学 2024-11-28 Nurshat Fateh Ali , Md. Mahdi Mohtasim , Shakil Mosharrof , T. Gopi Krishna

Generative artificial intelligence (GenAI) holds great promise as a tool to support personalized learning. Teachers need tools to efficiently and effectively enhance content readability of educational texts so that they are matched to…

Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the utilization of large pre-trained models. Nevertheless,…

计算与语言 · 计算机科学 2023-02-14 Jinlan Fu , See-Kiong Ng , Zhengbao Jiang , Pengfei Liu

This paper introduces Leaderboard Auto Generation (LAG), a novel and well-organized framework for automatic generation of leaderboards on a given research topic in rapidly evolving fields like Artificial Intelligence (AI). Faced with a…

计算与语言 · 计算机科学 2025-10-07 Jian Wu , Jiayu Zhang , Dongyuan Li , Linyi Yang , Aoxiao Zhong , Renhe Jiang , Qingsong Wen , Yue Zhang

This study aims to develop an adaptive learning platform that leverages generative AI to automate assessment creation and feedback delivery. The platform provides self-correcting tests and personalised feedback that adapts to each learners…

人机交互 · 计算机科学 2025-11-07 Riya Gill , Ievgeniia Kuzminykh , Maher Salem , Bogdan Ghita

While extensive research has focused on ChatGPT in recent years, very few studies have systematically quantified and compared linguistic features between human-written and artificial intelligence (AI)-generated language. This exploratory…

计算与语言 · 计算机科学 2026-02-18 Georgios P. Georgiou

In the realm of education, student evaluation holds equal significance to imparting knowledge. To be evaluated, students usually need to go through text-based academic assessment methods. Instructors need to make a diverse set of questions…

计算与语言 · 计算机科学 2025-09-30 Md. Alvee Ehsan , A. S. M Mehedi Hasan , Kefaya Benta Shahnoor , Syeda Sumaiya Tasneem

Iterative retrieval refers to the process in which the model continuously queries the retriever during generation to enhance the relevance of the retrieved knowledge, thereby improving the performance of Retrieval-Augmented Generation…

计算与语言 · 计算机科学 2024-12-02 Tian Yu , Shaolei Zhang , Yang Feng