Interactive Natural Language Processing: Language Model as Agent
暫譯: 互動式自然語言處理：語言模型作為代理人
Wang, Zekun, Zhang, Ge, Lin, Chenghua
- 出版商: Springer
- 出版日期: 2026-04-07
- 售價: $2,170
- 貴賓價: 9.5 折 $2,061
- 語言: 英文
- 頁數: 227
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032062632
- ISBN-13: 9783032062635
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相關分類:
Natural Language Processing
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相關主題
商品描述
This book addresses the emergence of Interactive Natural Language Processing (iNLP) and its novel paradigm within the field of NLP and discusses the limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as agents capable of observing, acting, and receiving feedback iteratively from external entities. The book provides a comprehensive survey of iNLP, starting by proposing a unified definition and framework of the concept. In addition, it provides a systematic classification of iNLP and dissects its various components, including interactive objects, interaction interfaces, and interaction methods. The book then proceeds to delve into the evaluation methodologies used in the field and explores its diverse applications, scrutinizes its ethical and safety issues, and discusses prospective research directions. This work aims to be an entry point for researchers who are interested in this rapidly evolving area and offers a broad view of the current landscape and future trajectory of iNLP.
商品描述(中文翻譯)
本書探討了互動自然語言處理（Interactive Natural Language Processing, iNLP）的興起及其在自然語言處理（NLP）領域中的新穎範式，並討論了現有框架的限制，同時與人工智慧的最終目標保持一致。這一範式將語言模型視為能夠觀察、行動並從外部實體中迭代接收反饋的代理。書中提供了iNLP的全面調查，首先提出了該概念的統一定義和框架。此外，還對iNLP進行了系統的分類，並剖析了其各種組成部分，包括互動對象、互動介面和互動方法。接著，本書深入探討了該領域中使用的評估方法，探索其多樣化的應用，審視其倫理和安全問題，並討論未來的研究方向。本書旨在成為對這一快速發展領域感興趣的研究者的入門點，並提供對iNLP當前格局和未來走向的廣泛視野。
作者簡介
Zekun Wang is a graduate student at Beihang University. Previously, he interned at Beijing Academy of Artificial Intelligence and ByteDance. He is currently at KlingAI from Kuaishou Technology. His research focuses on Large Language Models and Multimodal Large Language Models.
Ge Zhang is currently pursing a Ph.D. degree at the University of Waterloo. His research interests include music generation, self-supervised learning, and natural language processing, specifically human moral value alignment.
Chenghua Lin is a Full Professor and Chair in Natural Language Processing in the Department of Computer Science at the University of Manchester. His research focuses on the integration of machine learning and natural language processing for language generation and understanding. He also serves as Chair of the ACL SIGGEN Board and is a member of the IEEE Speech and Language Processing Technical Committee.
Jie Fu, Ph.D., is a visiting scholar at Hong Kong University of Science and Technology. He obtained his Ph.D. from the National University of Singapore and did his postdoctoral training at Quebec AI Institute (Mila). His reearch focuses on deep learning and large languge models.
作者簡介(中文翻譯)
Zekun Wang 是北京航空航天大學的研究生。之前，他曾在北京人工智慧學院和字節跳動實習。目前，他在快手科技的 KlingAI 工作。他的研究重點是大型語言模型和多模態大型語言模型。
Ge Zhang 目前在滑鐵盧大學攻讀博士學位。他的研究興趣包括音樂生成、自我監督學習和自然語言處理，特別是人類道德價值觀的對齊。
Chenghua Lin 是曼徹斯特大學計算機科學系的全職教授及自然語言處理主任。他的研究專注於機器學習與自然語言處理的整合，以實現語言生成和理解。他還擔任 ACL SIGGEN 委員會的主席，並且是 IEEE 語音與語言處理技術委員會的成員。
Jie Fu 博士是香港科技大學的訪問學者。他在新加坡國立大學獲得博士學位，並在魁北克人工智慧研究所（Mila）進行博士後訓練。他的研究重點是深度學習和大型語言模型。
