IMPACT SCORE JOURNAL RANKING CONFERENCE RANKING Conferences Journals Workshops Seminars SYMPOSIUMS MEETINGS BLOG LaTeX 5G Tutorial Free Tools
ACM-TIST 2024 : [CFP]Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI, ACM Transactions on Intelligent Systems and Technology 2024
ACM-TIST 2024 : [CFP]Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI, ACM Transactions on Intelligent Systems and Technology 2024

ACM-TIST 2024 : [CFP]Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI, ACM Transactions on Intelligent Systems and Technology 2024

N/A
Submission Deadline: January 31, 2024
Notification of Acceptance: August 31, 2024




Call for Papers

===========================================================================================================
ACM Transactions on Intelligent Systems and Technology 2024
Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI: Call for Papers
===========================================================================================================

###########Guest Editors:###########
Qi He, Head of AI and VP at Nextdoor, USA, ([email protected]), https://www.linkedin.com/in/qi-he/
Wei Wang, Leonard Kleinrock Chair Professor at UCLA, USA, ([email protected]), https://web.cs.ucla.edu/~weiwang/
Hao Wang, Professor at the Norwegian University of Science and Technology and Xidian University, Norway and China, ([email protected]), https://www.ntnu.edu/employees/hawa

###########Special issue information:###########
The integration of Large Language Models (LLMs) and Knowledge Graphs (KGs) represents a cutting-edge research frontier with the potential to revolutionize generative AI capabilities. LLMs, exemplified by GPT and BERT, have demonstrated remarkable text and language understanding capabilities, while KGs excel in storing factual knowledge. This synergy holds the promise of addressing key limitations in both LLMs and KGs and unlocking new horizons in generative AI development.
The field of KGs has matured considerably, offering a reliable repository for structured knowledge and facts with strong interpretability and decision-making capabilities. However, it faces challenges in summarizing information and generating new knowledge based on existing correlations. In contrast, LLMs possess robust language processing and generalization capabilities by parameterizing relationships within knowledge, but their probabilistic nature limits interpretability and creates hallucinations. This unique interdependence offers the opportunity to merge their strengths, enabling the resolution of technical challenges for generative AI, such as constructing comprehensive real-world knowledge, and improving the accuracy of automated responses generated by chatbots.
There are multiple key research directions in merging KGs and LLMs for generative AI. These include enhancing the accuracy of LLMs' knowledge summarization and generation by 1) Enhancing LLMs' accuracy in content generation and question answering by integrating KGs within the procedures of prompt engineering and answer retrieval; 2) Fine-tuning LLMs with KGs as auxiliary labels; and 3) Incorporating KGs into the pre-training stages of LLMs. Concurrently, LLMs can accelerate the construction of KGs by converting unstructured data to structured formats, or by improving text comprehension for tasks associated with KGs. This special issue aims to facilitate the sharing and discussion of recent progress and future trends in the collaborative development of LLMs and KGs for generative AI.

###########Topics:###########
We invite submissions on all topics of Integrating Large Language Models and Knowledge Graphs for Generative AI, including but not limited to:
•Knowledge Graph-Enhanced LLMs: Enhanced pre-training, inferencing, and interpretability in LLMs, along with novel applications
•Ways in Which LLMs Enhance Knowledge Graphs: Such as knowledge extraction, canonicalization, knowledge graph construction, ontological schema construction, and their novel applications
•Collaborative Approaches: Collaborations between LLMs and KGs for bidirectional reasoning driven by both data and knowledge
•Transforming Unstructured Data: Using LLMs to convert unstructured data into structured data for KG generation
•Knowledge Graph Alignment: Utilizing LLMs for alignment tasks in knowledge graphs
•Semantic Alignment: Investigating semantic alignment and knowledge awareness in KG-based LLMs
•Zero-Shot Learning: Applications of LLMs for zero-shot learning in KGs
•Development Potential: Exploring the potential of LLMs within KGs and vice versa
•Mixed Representations: Examining mixed representations of explicit structured knowledge in KGs and parametric knowledge in LLMs
•Evaluation and Benchmarking: Assessing specific domains using LLMs in conjunction with KGs, along with dataset construction methods
•Causal Reasoning: Applications of LLMs and KGs in causal reasoning
•Semantic Search: Utilizing LLMs and KGs for semantic search, question answering, recommendation systems, and more
•Fact Verification: Employing LLMs and KGs for fact verification via reasoning
•Complex Logical Reasoning: Investigating the use of LLMs and KGs in complex logical reasoning tasks
•Feature Interpretation: Exploring methods for interpreting features in LLM-KG models

###########Important Dates:###########
•Submissions deadline: January 31, 2024
•First-round review decisions: April 30, 2024
•Deadline for Minor Revision Submissions: May 31, 2024
•Deadline for Major Revision Submissions: July 31, 2024
•Notification of final decisions: August 31, 2024
•Tentative publication: October 2024

###########Submission Information:###########
Submissions must be prepared according to the TIST submission guidelines (https://dl.acm.org/journal/tist/author-guidelines) and must be submitted via Manuscript Central (https://mc.manuscriptcentral.com/tist). The special issue will also consider extended versions (at least 30% new content) of papers published at conferences.

For questions and further information, please contact Guest Editors: Qi He, Wei Wang, Hao Wang.

More details:https://dl.acm.org/journal/tist/cfp#calls-for-papers


Credits and Sources

[1] ACM-TIST 2024 : [CFP]Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI, ACM Transactions on Intelligent Systems and Technology 2024


Check other Conferences, Workshops, Seminars, and Events


OTHER LARGE LANGUAGE MODELS EVENTS

Gen AI in Finance SI PDW 2024: Generative AI in Finance SI Paper Development Workshop
Dresden
Jul 7, 2024
KG4SDSE@CAISE 2024: KG4SDSE@CAiSE 2024 : 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering @ CAiSE 2024
Limassol
Jun 3, 2024
SemTech4stld 2024: 2nd Workshop at ESWC 2024 on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data
Greece
May 26, 2024
FLLM 2024: The 2nd International Conference on Foundation and Large Language Models
Dubai. UAE
Nov 26, 2024
AKR3 2024: AKR3: 1st International Workshop on Actionable Knowledge Representation for Robots (at ESWC)
Hersonissos, Crete, Greece
May 28, 2024
SHOW ALL

OTHER KNOWLEDGE GRAPHS EVENTS

KG4SDSE@CAISE 2024: KG4SDSE@CAiSE 2024 : 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering @ CAiSE 2024
Limassol
Jun 3, 2024
WISDOMS 2024: Workshop on Integrating the Semantics of Data, Ontologies, Moral and Cultural Values and their Societal impact
Hersonissos, Greece
May 26, 2024
SemTech4stld 2024: 2nd Workshop at ESWC 2024 on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data
Greece
May 26, 2024
SEBD 2024: 32nd SYMPOSIUM ON ADVANCED DATABASE SYSTEMS
Villasimius (Italy)
Jun 23, 2024
KSEM 2024: 17th International Conference on Knowledge Science, Engineering and Management
Birmingham, United Kingdom
Aug 16, 2024
SHOW ALL

OTHER GENERATIVE AI EVENTS

SS-GAIMHS 2024: Special Session on Generative AI for Medical and Healthcare System
Paris, France
Jun 26, 2024
Gen AI in Finance SI PDW 2024: Generative AI in Finance SI Paper Development Workshop
Dresden
Jul 7, 2024
IEEE-JBHI (SI) 2024: Special Issue on Revolutionizing Healthcare Informatics with Generative AI: Innovations and Implications
N/A
TCCN SI 2024: Generative AI for Next-Generation Networks and Communication: Challenges and Solutions
N/A
AI-DCS 2024: The 1st IEEE International Workshop on Generative, Incremental, Adversarial, Explainable AI/ML in Distributed Computing Systems
Jersey City, New Jersey (USA)
Jul 23, 2024
SHOW ALL