2026 AITIA 大型语言模型与生成式人工智能研讨会 (AITIA-LLMGAI 2026)
发布时间：2026/09/04
5 会议地点：Hong Kong, China
会议时间：December 28, 2026
截稿时间：November 20, 2026
会议简介
The 2026 AITIA Symposium on Large Language Models and Generative Artificial Intelligence (AITIA-LLMGAI 2026) will be held on December 28, 2026 in Hong Kong, China.
As a focused symposium of the 2026 International Conference on AI and Technological Innovation Applications (AITIA 2026), the event provides an interdisciplinary platform for researchers, engineers, developers and industry professionals to exchange recent advances in large language models and generative artificial intelligence.
The symposium focuses on the foundations, architectures, training methods, evaluation, applications, governance and responsible development of generative AI systems. Particular attention is given to research connecting language models with multimodal intelligence, intelligent agents, knowledge systems, scientific discovery and real-world applications.
Original research papers, review articles, methodological studies, system designs, engineering applications and interdisciplinary case studies are welcome. The symposium aims to support academic exchange and responsible innovation across artificial intelligence, computer science and related fields.
论文收录
Accepted and registered papers will be published in the official symposium proceedings entitled Proceedings of the 2026 AITIA Symposium on Large Language Models and Generative Artificial Intelligence, abbreviated as Proceedings of AITIA-LLMGAI 2026.
Bibliographic metadata for published papers will be deposited with Crossref. Eligible papers will also be submitted to Google Scholar, CNKI, Conference Proceedings Citation Index (CPCI) and other relevant academic databases for evaluation and possible indexing.
Papers that have completed peer review, registration, final manuscript checks and production requirements may be transferred to publication on a regular basis. Papers registered earlier may enter the production process earlier.
Submission to an academic database does not guarantee inclusion or indexing. Final indexing results are determined independently by each database and may be affected by its evaluation criteria, policies, workflow and processing schedule.
征稿范围
1. Large Language Model Foundations
Transformer architectures and variants
Foundation models and language representation
Pre-training objectives and strategies
Scaling laws and model efficiency
Tokenization and vocabulary design
Long-context language modelling
Multilingual and cross-lingual models
Domain-specific language models
Knowledge representation in language models
Theoretical analysis of generative models
2. Training, Adaptation and Optimization
Instruction tuning and supervised fine-tuning
Reinforcement learning from human feedback
Parameter-efficient fine-tuning
Prompt tuning and prompt optimization
Model compression and knowledge distillation
Quantization and efficient inference
Distributed and federated model training
Synthetic data generation and augmentation
Continual and lifelong learning
Hardware-aware model optimization
3. Multimodal Generative Intelligence
Vision-language foundation models
Text-to-image generation
Text-to-video generation
Speech and audio generation
Cross-modal representation learning
Multimodal reasoning and understanding
Image and video captioning
Generative 3D content and virtual environments
Multimodal retrieval and generation
Unified multimodal foundation models
4. Intelligent Agents and Applications
LLM-based autonomous agents
Retrieval-augmented generation
Tool use and function calling
Multi-agent systems and collaboration
Conversational AI and dialogue systems
Code generation and software engineering
Generative AI for education
Generative AI for healthcare
Generative AI for scientific discovery
Enterprise and industrial AI applications
5. Evaluation, Reliability and Security
Language-model evaluation benchmarks
Factuality and hallucination detection
Reasoning and planning evaluation
Robustness and adversarial testing
Model uncertainty and calibration
Explainability and interpretability
Privacy-preserving generative AI
Prompt injection and model security
Content authenticity and provenance
Human evaluation of generative systems
6. Ethics, Governance and Social Impact
Responsible generative AI
Fairness, bias and discrimination
AI alignment and human values
Copyright and intellectual property
Data governance and informed consent
AI-generated misinformation
Transparency and model documentation
Legal and regulatory frameworks
Environmental impact of foundation models
Social and economic impacts of generative AI
会议时间：December 28, 2026
截稿时间：November 20, 2026
会议简介
The 2026 AITIA Symposium on Large Language Models and Generative Artificial Intelligence (AITIA-LLMGAI 2026) will be held on December 28, 2026 in Hong Kong, China.
As a focused symposium of the 2026 International Conference on AI and Technological Innovation Applications (AITIA 2026), the event provides an interdisciplinary platform for researchers, engineers, developers and industry professionals to exchange recent advances in large language models and generative artificial intelligence.
The symposium focuses on the foundations, architectures, training methods, evaluation, applications, governance and responsible development of generative AI systems. Particular attention is given to research connecting language models with multimodal intelligence, intelligent agents, knowledge systems, scientific discovery and real-world applications.
Original research papers, review articles, methodological studies, system designs, engineering applications and interdisciplinary case studies are welcome. The symposium aims to support academic exchange and responsible innovation across artificial intelligence, computer science and related fields.
论文收录
Accepted and registered papers will be published in the official symposium proceedings entitled Proceedings of the 2026 AITIA Symposium on Large Language Models and Generative Artificial Intelligence, abbreviated as Proceedings of AITIA-LLMGAI 2026.
Bibliographic metadata for published papers will be deposited with Crossref. Eligible papers will also be submitted to Google Scholar, CNKI, Conference Proceedings Citation Index (CPCI) and other relevant academic databases for evaluation and possible indexing.
Papers that have completed peer review, registration, final manuscript checks and production requirements may be transferred to publication on a regular basis. Papers registered earlier may enter the production process earlier.
Submission to an academic database does not guarantee inclusion or indexing. Final indexing results are determined independently by each database and may be affected by its evaluation criteria, policies, workflow and processing schedule.
征稿范围
1. Large Language Model Foundations
Transformer architectures and variants
Foundation models and language representation
Pre-training objectives and strategies
Scaling laws and model efficiency
Tokenization and vocabulary design
Long-context language modelling
Multilingual and cross-lingual models
Domain-specific language models
Knowledge representation in language models
Theoretical analysis of generative models
2. Training, Adaptation and Optimization
Instruction tuning and supervised fine-tuning
Reinforcement learning from human feedback
Parameter-efficient fine-tuning
Prompt tuning and prompt optimization
Model compression and knowledge distillation
Quantization and efficient inference
Distributed and federated model training
Synthetic data generation and augmentation
Continual and lifelong learning
Hardware-aware model optimization
3. Multimodal Generative Intelligence
Vision-language foundation models
Text-to-image generation
Text-to-video generation
Speech and audio generation
Cross-modal representation learning
Multimodal reasoning and understanding
Image and video captioning
Generative 3D content and virtual environments
Multimodal retrieval and generation
Unified multimodal foundation models
4. Intelligent Agents and Applications
LLM-based autonomous agents
Retrieval-augmented generation
Tool use and function calling
Multi-agent systems and collaboration
Conversational AI and dialogue systems
Code generation and software engineering
Generative AI for education
Generative AI for healthcare
Generative AI for scientific discovery
Enterprise and industrial AI applications
5. Evaluation, Reliability and Security
Language-model evaluation benchmarks
Factuality and hallucination detection
Reasoning and planning evaluation
Robustness and adversarial testing
Model uncertainty and calibration
Explainability and interpretability
Privacy-preserving generative AI
Prompt injection and model security
Content authenticity and provenance
Human evaluation of generative systems
6. Ethics, Governance and Social Impact
Responsible generative AI
Fairness, bias and discrimination
AI alignment and human values
Copyright and intellectual property
Data governance and informed consent
AI-generated misinformation
Transparency and model documentation
Legal and regulatory frameworks
Environmental impact of foundation models
Social and economic impacts of generative AI
联系方式：
会议官网：https://www.aitia-conf.org/llmgai
投稿链接：https://www.aitia-conf.org/submission
投稿链接：https://www.aitia-conf.org/submission
来源/发布：https://www.aitia-conf.org/llmgai
相关会议推荐
第六届能源演进与电力工程大会：转型·智能·自治（EEPE-TIA 2026）【2026-08-07】
第十二届能源材料与电力工程国际学术会议 (ICEMEE 2026)【2026-08-28】
2026年国际可再生、可持续能源和智能技术会议【2026-10-30】
2026年油气储运、管道工程与智能化发展国际会议（IOG 【2026-9-4】 [注册参会]
2026年新能源材料加工、制造及应用国际会议（PMANE 【2026-9-4】 [注册参会]
2026绿色能源、智能电网与电力系统（GESGPS 20 【2026-9-4】 [注册参会]
2026年可再生能源、电力工程与智能控制国际会议（IRE 【2026-9-4】 [注册参会]
2026新能源技术创新、能源转换与电子国际会议（NETI 【2026-9-4】 [注册参会]
2026年节能环保、污染防控与海洋工程国际会议（EEPC 【2026-9-4】 [注册参会]
2026电力电子、电机驱动与能源管理国际会议统国际会议（ 【2026-9-4】 [注册参会]
2026年可再生能源技术与电化学储能国际会议（RETEE 【2026-9-4】 [注册参会]
2026能源科学、应用物理与化学国际会议（ICESAPC 【2026-9-4】 [注册参会]
2026年清洁能源、电力系统与能源互联网国际会议（ICE 【2026-9-4】 [注册参会]
相关期刊推荐
相关会议信息
小贴士：学术会议云是学术会议查询检索的第三方门户网站。它是会议组织发布会议信息、众多学术爱好者参加会议、找会议的双向交流平台。它可提供国内外学术会议信息预报、分类检索、在线报名、论文征集、资料发布以及了解学术资讯，查找会服机构等服务，支持PC、微信、APP，三媒联动。
-
2026年10月优质国际学术会议推荐 4
-
第五届传感、测量、通信与物联网技术国 317
-
2026年第15届计算与模式识别国际 581
-
2026年计算科学与学习技术前沿国际 403
-
2026年第二届计算机视觉与机器学习 2803
-
2026资源、化学化工与应用材料国际 3959
-
2026年图像处理与数字创意设计国际 3674
-
2026年机械工程，新能源与电气技术 8560
-
2026年材料科学、低碳技术与动力工 4107
-
2026年计算流体力学、储能技术与智 08-31
-
2026年高性能计算、建模与仿真技术 08-31
-
2026年智能信号处理、深度学习与无 08-31
-
2026年空气动力学、飞行器设计与推 08-31
-
2026年机电系统、仿生机器人与工业 08-31
-
2026年水利工程、水资源管理与气候 08-31
会议展示区
综合推荐区
-
2026 JCR影响因子正式发布1791
-
中国科协发布2025年《重要学术1887
-
2026年新锐分区（原中科院期刊9566
-
2025年两院院士增选有效候选人6298
-
好学术:科研网址导航|学术头条分8714
-
2025年国际期刊预警名单发布!8586
-
2025年中科院期刊分区表重磅发29668
-
吉林大学校长张希：学术会议中的提9645
-
清华大学计算机系高性能所获得IE07-31
-
北京大学生命科学学院伊成器课题组07-31
-
北京大学罗欢、李阿明、方方课题组07-31
-
北京大学生命科学学院郭强团队与合07-31
-
清华大学集成电路学院任天令团队合07-31
-
清华大学5位清华人当选“202607-31
-
研究揭示热带雨林优势树种望天树幼07-31
-
宁夏农林科学院 24426
-
中国制冷学会 21605
-
贵州大学精细化工研究开发中心 22036
-
WILL 24410
-
APISE 24845
-
GREAR 2524
-
百奥泰国际会议（大连）有限公司 23680
-
中国科学院山西煤炭化学研究所 8575
-
ICMDME 23795
-
内蒙古工业大学 24841
-
武汉金钥匙会务服务有限公司 8557
-
中国汽车会议网 23648
-
长江大学机械工程学院 21706
-
中国表面工程协会热喷涂专业委员会 21840
-
西南财经大学 23739
-
VERBI软件有限责任公司 8759
-
新中新电子股份有限公司 18747
-
世纪昌杰(北京)信息咨询有限公司 8980
-
中国南方航空股份有限公司 2720
-
北京易智思信息科技有限公司 8618
