cs.CL提交于 2026-10-22已译

Acharya 2.0：印地语学科自主学习 AI 导师

Acharya 2.0: An AI Tutor for Self-Learning Subjects in Hindi

Shantipriya Parida · Debasish Dhal · Sonal Khosla · Sambit Sekhar · Muhammed Abdur Rahmaan Kamaldeen

中文摘要

arXiv:2610.25192v2 公告类型：替换摘要：文本处理对低资源语言至关重要，可推动数字鸿沟弥合工具的发展，让不同群体公平获取信息与服务。低资源语言因缺少标注数据集和语言资源，难以开发准确可靠的语言技术。大语言模型（LLM）虽表现突出，但针对特定任务进行适配耗时且资源密集。检索增强生成（RAG）通过为 LLM 引入外部知识，提高效率与任务适配能力，但现有应用主要局限于英语及少数印度语言。Acharya 2.0 是一款由 RAG 驱动的 AI 导师应用，为印地语学生提供学业帮助；该客户端—服务器 Web 应用集成多项功能，支持学生访问并交互教育内容。

关键要点

01低资源语言缺乏标注数据集与语言资源，制约可靠语言技术开发。
02面向不断演化的语言，LLM 的特定任务适配耗时且资源密集。
03RAG 通过外部知识增强 LLM，提升效率与任务适配能力。
04Acharya 2.0 将 RAG AI 导师应用于印地语学生学业辅助。
05客户端—服务器 Web 应用支持教育内容的访问与交互。

解读

尚无解读。

原始英文摘要

arXiv:2610.25192v2 Announce Type: replace Abstract: Text processing is crucial for low-resource languages as it enables the development of tools and technologies that bridge the digital divide and provide equitable access to information and services. By empowering low-resource languages with robust text processing, we can preserve linguistic diversity, enhance education, improve communi- cation, and foster inclusivity in a rapidly digitizing world. Due to the lack of sufficient annotated datasets and lin- guistic resources, it is challenging to develop accurate and reliable language technologies for these low-resource languages. Large Language Models (LLMs) have attracted sig- nificant attention with their performance and the value they produce. However, with the ever-evolving language, adapting LLMs for a specific task is time-consuming and resource-intensive. Thus, Retrieval-Augmented Genera- tion (RAG) has overcome this limitation by augmenting LLMs with external knowledge, thereby improving their efficiency and extensive task-specific adaptation. Most applications of the RAG technique have been limited to English and has seen limited application in In- dic languages. This paper introduces the RAG-powered AI-Tutor application, Acharya 2.0, designed to produce academic assistance to Hindi-speaking students. The client-server-based web application integrates many fea- tures to support students in accessing and interacting with educational content.