=============== ===============
* We apologize if you receive multiple copies of this Workshop program * * For the online version of this Call, visit: https://cikm2024.org/workshops/
===============
CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
Boise, Idaho, USA
October 21–25, 2024
===============
The workshop program of CIKM 2024 has been published. Workshops are planned to take place on 25 October 2024. Here you can find a summary of each accepted workshop and the website for more information. Deadlines start on July 29th.
=============== AI Agent for Information Retrieval =============== The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. Despite these advancements, challenges such as ensuring relevance and accuracy, mitigating biases, providing real-time responses, and maintaining data security remain. This workshop is motivated by the need to explore these challenges, share innovative solutions, and discuss future directions.
More information at: https://sites.google.com/view/ai4ir/
=============== DCAI: The 4th International Workshop on Data-Centric AI =============== Machine learning focuses on developing models for datasets, but real-world data is often messy. Improving the dataset itself can be a better way to enhance performance instead of just improving the models. Data-Centric AI (DCAI) is an emerging field that systematically improves datasets, resulting in significant improvements in ML applications. This workshop aims to build an interdisciplinary DCAI community to tackle data problems such as collection, labeling, preprocessing, quality evaluation, debt, and governance.
More information at: https://data-centric-ai-dev.github.io/CIKM2024/
=============== GenAI and RAG Systems for Enterprise =============== Generative AI (GenAI) represented by large language models (LLMs) is revolutionizing the way we approach problem-solving and content creation in various domains. This workshop aims to bring together academic researchers and industrial practitioners who are interested in building GenAI solutions for enterprise AI, with a special focus on RAG systems. The workshop will provide a platform for sharing the latest research advances, practical experiences, and real-world challenges in this emerging field.
More information at: https://sites.google.com/view/cikm2024-rag/home
=============== Knowledge Graphs for Responsible AI =============== As AI systems become increasingly sophisticated, including the explosion of Generative AI, there is a growing need to address ethical considerations and potential societal impacts of their uses. The workshop aims to investigate the role of Knowledge Graphs (KGs) in promoting Responsible AI principles and creating a cooperative space for researchers, practitioners, and policymakers to exchange insights and enhance their comprehension of KGs' impact on achieving Responsible AI solutions. It seeks to facilitate collaboration and idea-sharing to advance the understanding of how KGs can contribute to Responsible AI.
More information at: https://deepa-tilwani.github.io/kg-for-responsible-ai-workshop-cikm-2024.git...
=============== LLMs Beyond the Cutoff =============== The workshop provides an interdisciplinary forum for discussing the temporal limitations of LLMs and proposing technical solutions of how to apply and develop LLMs beyond their cutoff dates. We explore two prominent scenarios, where contexts tend to evolve faster than the LLMs that are used to analyze them: (1) journalism and (2) industry.
More information at: https://llmsbeyondthecutoff2024.wordpress.com/
=============== The 1st Workshop on Multimodal Search and Recommendations (CIKM MMSR ‘24) =============== The advent of multimodal LLMs like GPT-4o and Gemini has significantly boosted the potential for multimodal search and recommendations. Traditional search engines rely mainly on textual queries, supplemented by session and geographical data. In contrast, multimodal systems create a shared embedding space for text, images, audio, and more, enabling next-gen customer experiences. These advancements lead to more accurate and personalized recommendations, enhancing user satisfaction and engagement.
More information at: https://cikm-mmsr.github.io/
=============== The 3rd International Workshop on Industrial Recommendation Systems =============== The gap in constraints and requirements between academic research and industry limits the broad applicability of many of academia’s contributions for industrial recommendation systems. This workshop aspires to bridge this gap by bringing together researchers from both academia and industry. Its goal is to serve as a platform via which academic researchers become aware of the additional factors that may affect the chances of algorithm adoption into real production systems, and the performance of the algorithms if deployed. Industrial researchers will also benefit from sharing the practical frameworks at an industrial level.
More information at: https://irsworkshop.github.io/2024/
=============== The 4th International Workshop on Online and Adaptive Recommender Systems =============== The international workshop on Online and Adaptive Recommender Systems (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to user intent.
More information at: https://oars-workshop.github.io/
=============== The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA³ 2024) =============== Graphs are powerful analytic tools for modeling adversarial activities across a wide range of domains and applications. With the rapid development of generative AI, the lifecycle and throughput of adversarial activities, such as generating attacks or synthesizing deceptive signals, have accelerated significantly. The purpose of this workshop is to provide a forum to discuss emerging research problems and novel approaches in graph analysis for modeling adversarial activities in the age of generative AI.
More information at: https://gta3.hrl.com/
=============== Trustworthy and Responsible AI for Information and Knowledge Management System =============== The way research and business manage and utilize knowledge is undergoing a significant transformation, driven by Artificial Intelligence (AI). AI offers a unique solution for organizations struggling with information overload and inefficient knowledge transfer. However, such AI systems solicit a trustworthy and responsible solution that can cater the potential misuse and malfunction. In this workshop, we aim to gather researchers and engineers from academia and industry to discuss the latest advances for trustworthy and responsible AI solutions for information and knowledge management systems.
More information at: https://responsible-ai.wiki/cikm24/index.html
=============== Workshop on Generative AI for E-Commerce =============== The “Gen AI for E-commerce” workshop explores the role of Generative Artificial Intelligence in transforming e-commerce through enhanced user experience and operational efficiency. E-commerce companies grapple with multiple challenges such as lack of quality content for products, subpar user experience, sparse datasets... This workshop will bring together experts from academia and industry to discuss these challenges and opportunities, aiming to showcase case studies, breakthroughs, and insights into practical implementations of Gen AI in e-commerce.
More information at: https://genai-ecommerce.github.io/GenAIECommerce2024
Dear Sender,
I am currently out of the office and will not be checking emails regularly. I will return on September 9, and will respond to your message as soon as possible after that date.
Best regards, Charlott Jakob
On 12 Jul 2024, at 23:17, Antonela via Corpora corpora@list.elra.info wrote:
=============== ===============
* We apologize if you receive multiple copies of this Workshop program * * For the online version of this Call, visit: https://cikm2024.org/workshops/
===============
CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
Boise, Idaho, USA
October 21–25, 2024
===============
The workshop program of CIKM 2024 has been published. Workshops are planned to take place on 25 October 2024. Here you can find a summary of each accepted workshop and the website for more information. Deadlines start on July 29th.
=============== AI Agent for Information Retrieval =============== The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. Despite these advancements, challenges such as ensuring relevance and accuracy, mitigating biases, providing real-time responses, and maintaining data security remain. This workshop is motivated by the need to explore these challenges, share innovative solutions, and discuss future directions.
More information at: https://sites.google.com/view/ai4ir/
=============== DCAI: The 4th International Workshop on Data-Centric AI =============== Machine learning focuses on developing models for datasets, but real-world data is often messy. Improving the dataset itself can be a better way to enhance performance instead of just improving the models. Data-Centric AI (DCAI) is an emerging field that systematically improves datasets, resulting in significant improvements in ML applications. This workshop aims to build an interdisciplinary DCAI community to tackle data problems such as collection, labeling, preprocessing, quality evaluation, debt, and governance.
More information at: https://data-centric-ai-dev.github.io/CIKM2024/
=============== GenAI and RAG Systems for Enterprise =============== Generative AI (GenAI) represented by large language models (LLMs) is revolutionizing the way we approach problem-solving and content creation in various domains. This workshop aims to bring together academic researchers and industrial practitioners who are interested in building GenAI solutions for enterprise AI, with a special focus on RAG systems. The workshop will provide a platform for sharing the latest research advances, practical experiences, and real-world challenges in this emerging field.
More information at: https://sites.google.com/view/cikm2024-rag/home
=============== Knowledge Graphs for Responsible AI =============== As AI systems become increasingly sophisticated, including the explosion of Generative AI, there is a growing need to address ethical considerations and potential societal impacts of their uses. The workshop aims to investigate the role of Knowledge Graphs (KGs) in promoting Responsible AI principles and creating a cooperative space for researchers, practitioners, and policymakers to exchange insights and enhance their comprehension of KGs' impact on achieving Responsible AI solutions. It seeks to facilitate collaboration and idea-sharing to advance the understanding of how KGs can contribute to Responsible AI.
More information at: https://deepa-tilwani.github.io/kg-for-responsible-ai-workshop-cikm-2024.git...
=============== LLMs Beyond the Cutoff =============== The workshop provides an interdisciplinary forum for discussing the temporal limitations of LLMs and proposing technical solutions of how to apply and develop LLMs beyond their cutoff dates. We explore two prominent scenarios, where contexts tend to evolve faster than the LLMs that are used to analyze them: (1) journalism and (2) industry.
More information at: https://llmsbeyondthecutoff2024.wordpress.com/
=============== The 1st Workshop on Multimodal Search and Recommendations (CIKM MMSR ‘24) =============== The advent of multimodal LLMs like GPT-4o and Gemini has significantly boosted the potential for multimodal search and recommendations. Traditional search engines rely mainly on textual queries, supplemented by session and geographical data. In contrast, multimodal systems create a shared embedding space for text, images, audio, and more, enabling next-gen customer experiences. These advancements lead to more accurate and personalized recommendations, enhancing user satisfaction and engagement.
More information at: https://cikm-mmsr.github.io/
=============== The 3rd International Workshop on Industrial Recommendation Systems =============== The gap in constraints and requirements between academic research and industry limits the broad applicability of many of academia’s contributions for industrial recommendation systems. This workshop aspires to bridge this gap by bringing together researchers from both academia and industry. Its goal is to serve as a platform via which academic researchers become aware of the additional factors that may affect the chances of algorithm adoption into real production systems, and the performance of the algorithms if deployed. Industrial researchers will also benefit from sharing the practical frameworks at an industrial level.
More information at: https://irsworkshop.github.io/2024/
=============== The 4th International Workshop on Online and Adaptive Recommender Systems =============== The international workshop on Online and Adaptive Recommender Systems (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to implement OARS algorithms and systems, and improve user experiences by better modeling and responding to user intent.
More information at: https://oars-workshop.github.io/
=============== The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA³ 2024) =============== Graphs are powerful analytic tools for modeling adversarial activities across a wide range of domains and applications. With the rapid development of generative AI, the lifecycle and throughput of adversarial activities, such as generating attacks or synthesizing deceptive signals, have accelerated significantly. The purpose of this workshop is to provide a forum to discuss emerging research problems and novel approaches in graph analysis for modeling adversarial activities in the age of generative AI.
More information at: https://gta3.hrl.com/
=============== Trustworthy and Responsible AI for Information and Knowledge Management System =============== The way research and business manage and utilize knowledge is undergoing a significant transformation, driven by Artificial Intelligence (AI). AI offers a unique solution for organizations struggling with information overload and inefficient knowledge transfer. However, such AI systems solicit a trustworthy and responsible solution that can cater the potential misuse and malfunction. In this workshop, we aim to gather researchers and engineers from academia and industry to discuss the latest advances for trustworthy and responsible AI solutions for information and knowledge management systems.
More information at: https://responsible-ai.wiki/cikm24/index.html
=============== Workshop on Generative AI for E-Commerce =============== The “Gen AI for E-commerce” workshop explores the role of Generative Artificial Intelligence in transforming e-commerce through enhanced user experience and operational efficiency. E-commerce companies grapple with multiple challenges such as lack of quality content for products, subpar user experience, sparse datasets... This workshop will bring together experts from academia and industry to discuss these challenges and opportunities, aiming to showcase case studies, breakthroughs, and insights into practical implementations of Gen AI in e-commerce.
More information at: https://genai-ecommerce.github.io/GenAIECommerce2024 _______________________________________________ Corpora mailing list -- corpora@list.elra.info https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave@list.elra.info
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antonela.tommasel＠isistan.unicen.edu.ar -
Jakob, Charlott Frederike