In the first LLM@IJCAI'23 Symposium call for papers, outstanding submitted papers are recommended for publication in "AI Open" and "JCST".

Large-scale language models (LLMs), such as ChatGPT and GPT-4, have revolutionized the field of artificial intelligence with their superior capabilities in natural language understanding and generation.

LLMs are widely used in various applications, such as voice assistants, recommendation systems, content generation models (such as ChatGPT), and text-to-image models (such as Dall-E), etc.

However, these powerful models also pose significant challenges to their security and ethical deployment. How to ensure that LLMs are fair, secure, privacy-preserving, explainable and controllable?

Provide a platform for academic researchers and industry practitioners to discuss the latest progress and unsolved problems in the field of LLMs. Professor Chen Lei and Professor Yang Qiang of Hong Kong University of Science and Technology and Professor Tang Jie of Tsinghua University and others organized the first Symposium on Large Language Models (LLM 2023) at the IJCAI2023 conference, about large Workshop on Model Progress and Issues.

The seminar will cover two topics: a) introduce the latest advances in basic LLMs and their applications in different fields; b) address the issues and challenges faced in building trustworthy LLMs.

We hope that this symposium can promote interdisciplinary cooperation and exchange of ideas among participants, and contribute to the development and use of LLMs that can benefit mankind. Excellent submitted papers are recommended for "AI Open" (EI search) and "JCST" (CCF-B) published.

Official website address:

https://bigmodel.ai/llm-ijcai23/

Call for papers

LLM@IJCAI'23 is a non-archival symposium. At least one author of each selected paper must attend the conference to present the paper.

We welcome submissions on the latest advances and applications of large models (LLMs), with an emphasis on improving trust in the use of LLMs. Topics discussed include (but are not limited to):

Techniques:

• Advanced model architectures for LLMs, e.g., Transformer architectures and attention mechanisms.
• Advanced algorithms for improving performance, cost, robustness, and complexity of LLMs.
• Model transfer and compression techniques for LLMs.
• Federated Learning for LLMs.
• Prompt Engineering for LLMs.

Applications:

• Innovative applications of LLMs in various domains, e.g., psychotherapy, elderly care, etc.
• Educational technologies based on LLMs such as chat-bots, content generation, feedback systems, etc.
• Natural language understanding and generation tasks using LLMs, e.g., storytelling, marketing copywriting, etc.
• LLMs for health care, protein synthesis, etc.

Challenges

• Ethics, social economics, and trustworthiness of LLMs.
• Data labeling and quality issues for training LLMs.
• Privacy and security risks of models and data used by LLMs.
• Potential bias and unfairness in the output of LLMs
• Human oversight and intervention mechanisms for controlling LLMs.
• Hallucination detection and alleviation for LLMs.
• Emergent behavior in LLMs

Important dates

• Deadline for paper submission: June 3, 2023
• Paper acceptance notification date: June 15, 2023
• Seminar date: August 21, 2023

Submission method

• Each submission can contain up to 7 pages of content, plus up to 2 pages of references and acknowledgments.
• The submitted paper must be written in English and saved as a PDF file in accordance with the IJCAI'23 template format.
• All submitted papers will undergo a one-way blind review to evaluate their performance in terms of innovation, technical quality and impact.
• Submitted papers may include author details.

Please submit through the Easychair submission website:

Here is the link to the LLM-IJCAI 2023 conference on EasyChair.

Papers that meet the IJCAI'23 standards must ensure that at least one author attends the conference in person. In addition, the same paper may not be submitted to multiple IJCAI seminars/workshops at the same time.

Organizer

General Co-Chairs

Chen Lei, Hong Kong University of Science and Technology

Tang Jie, Tsinghua University

Yang Qiang, Hong Kong University of Science and Technology, WeBank AI

Program Co-Chairs

Dong Yuxiao, Tsinghua University

Fan Lixin, WeBank AI

If you have any questions, please email llm-ijcai23@easychair.org.

The above is the detailed content of Call for Papers丨IJCAI'23 Large Model Forum, excellent submissions are recommended for publication in AI Open and JCST. For more information, please follow other related articles on the PHP Chinese website!