会议信息

GACLM 2026: International Generative AI and Computational Language Modelling Conference

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GACLM
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截稿日期:
2026-06-15 Extended
通知日期:
2026-07-15
会议日期:
2026-09-15
会议地点:
Abu Dhabi, UAE
届数:
3
浏览: 5899   关注: 1   参加: 1

会伴指数 (CP-I)

42.3 / 100
全站第 4,067 名 / 共 5,682 个会议 · 前 72%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%)
37
社区关注 (10%)
21
资料公开度 (15%)
35

用到的输入: 有据可查的届次:3 · 在会伴关注它的研究者:1 人 · 过去 24 个月打开过本页的研究者:6 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-17

征稿

GACLM 2026 (International Generative AI and Computational Language Modelling Conference) is an academic conference held in Abu Dhabi, UAE on 2026-09-15. The paper submission deadline is 2026-06-15 (extended). Acceptance notifications are sent on 2026-07-15.

With the emergence of Generative AI (GenAI), the world is experiencing a new era of generative models producing various types of data, including textual and visual data. This is accompanied by the unprecedented advancement of Computational Language Modeling (CLM) techniques that are supporting a wide range of downstream applications. Both Generative AI and Computational Language Modeling are leading the paradigm shift we are witnessing in Artificial Intelligence. The 3rd International Generative AI and Computational Language Modeling Conference (GACLM 2026) addresses the architectures, applications, challenges, approaches, and future directions of this new era of Artificial Intelligence systems based on GenAI and CLM. We invite the submission of original papers on all topics related to GACLM, with special interest in, but not limited to, the following: Human-Centered Generative AI Natural Language Processing (NLP) Large Language Models (LLMs) Text generation, summarization, and question answering Sentiment analysis, misinformation detection, and emotion detection Machine translation and multilingual models Language comprehension, grammar and style checking, and complex reasoning Document processing and information retrieval Computer-Assisted Language Learning Adversarial machine learning and applications Generative adversarial networks (GANs) GenAI and diffusion models Federated and distributed learning for GenAI Fine-tuning and retrieval-augmented generation (RAG) Synthetic data generation and data augmentation Explainable AI (XAI) and trustworthy AI systems GenAI in healthcare, education, robotics, and smart cities GenAI for cybersecurity and Internet of Things (IoT) systems GenAI for sustainability and human good Computer vision, creative applications, and video generation GenAI ethics and governance
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