Towards reasoning in large language models: A survey
Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …
activities such as problem solving, decision making, and critical thinking. In recent years …
DEER: Descriptive knowledge graph for explaining entity relationships
We propose DEER (Descriptive Knowledge Graph for Explaining Entity Relationships)-an
open and informative form of modeling entity relationships. In DEER, relationships between …
open and informative form of modeling entity relationships. In DEER, relationships between …
Dimongen: Diversified generative commonsense reasoning for explaining concept relationships
In this paper, we propose DimonGen, which aims to generate diverse sentences describing
concept relationships in various everyday scenarios. To support this, we first create a …
concept relationships in various everyday scenarios. To support this, we first create a …
Understanding jargon: Combining extraction and generation for definition modeling
Can machines know what twin prime is? From the composition of this phrase, machines may
guess twin prime is a certain kind of prime, but it is still difficult to deduce exactly what twin …
guess twin prime is a certain kind of prime, but it is still difficult to deduce exactly what twin …
Descriptive knowledge graph in biomedical domain
We present a novel system that automatically extracts and generates informative and
descriptive sentences from the biomedical corpus and facilitates the efficient search for …
descriptive sentences from the biomedical corpus and facilitates the efficient search for …
Ccgen: Explainable complementary concept generation in e-commerce
We propose and study Complementary Concept Generation (CCGen): given a concept of
interest, eg," Digital Cameras", generating a list of complementary concepts, eg, 1) Camera …
interest, eg," Digital Cameras", generating a list of complementary concepts, eg, 1) Camera …
Ver: Learning natural language representations for verbalizing entities and relations
Entities and relationships between entities are vital in the real world. Essentially, we
understand the world by understanding entities and relations. For instance, to understand a …
understand the world by understanding entities and relations. For instance, to understand a …
A transformer framework for generating context-aware knowledge graph paths
Abstract Contextual Path Generation (CPG) refers to the task of generating knowledge path
(s) between a pair of entities mentioned in an input textual context to determine the semantic …
(s) between a pair of entities mentioned in an input textual context to determine the semantic …
VER: Unifying Verbalizing Entities and Relations
Entities and relationships between entities are vital in the real world. Essentially, we
understand the world by understanding entities and relations. For instance, to understand a …
understand the world by understanding entities and relations. For instance, to understand a …
Descriptive knowledge graph for explaining entity relationships
K Zhu - 2023 - ideals.illinois.edu
Abstract We propose DEER (Descriptive Knowledge Graph for Explaining Entity
Relationships)–an open and informative form of modeling entity relationships. In DEER …
Relationships)–an open and informative form of modeling entity relationships. In DEER …