Noeon Research
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Noeon Research
Our Research
Our approach combines explicit knowledge representation in discrete structures with ML-assisted algorithms to manipulate them. To achieve that, we actively conduct research in the following areas:
Knowledge Representation
(01)
A well-designed Knowledge Representation allows us to store knowledge in graph-like structures to efficiently extract, remove and reason on it.
Directions: Knowledge Graphs, Ontologies, Semantic Networks, Syntactic Representations, Context Hierarchy
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Graphs and Reasoning
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We exercise reasoning through graph manipulations. Thus, graph-theoretic research is crucial for fast and reliable reasoning.
Directions: Graph Algorithms, Pattern Recognition and Substitution, Fast Retrieval, Representability, Graph Theoretical Properties, Black-Boxing and Abstraction
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Agentic Behaviour
(03)
This line of research is needed to make our system agentic enough to be helpful but not agentic enough to be harmful. Reliable and aligned goal-pursuing behaviour is our priority, and we want a sane conceptualisation of it, contrary to, for example, the reward mechanism.
Directions: Agency Theory, Goals and Intentions, Planning, World Modeling, Modal Logic
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Elaboration
(04)
Elaboration of user requests is an equally important part of problem-solving. Understanding the specification of the problem, spotting and dealing with the lack of knowledge, and providing explanations require a proper interface to bridge the user's language and internal representation.
Directions: NLP, Structurisation, Grounding, Entity Alignment, Knowledge-Guided Dialogue Systems, Pragmatic Communication
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Domain-Specific Knowledge Population
(05)
The architecture is focused on abstract reasoning. It means that the system's abilities are not based on domain-specific knowledge, and to be useful the system must be augmented with a proper ontology.
Directions: Commonsense Datasets Refinement, QoL Tools for Knowledge Management, Knowledge Distillation from LLMs
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Join Our Team
We are always on a lookout for passionate teammates that share our values and ambitions.
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Midtown Tower 18F, 9-7-1 Akasaka, Minato-ku, Tokyo, Japan
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