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Found 5 papers, 4 papers with code
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps.
Exploring Chain-of-Thought Style Prompting for Text-to-SQL
Thus, we systematically study how to enhance LLMs' reasoning ability through chain of thought (CoT) style prompting, including the original chain-of-thought prompting (Wei et al., 2022b) and least-to-most prompting (Zhou et al., 2023).
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
There has been significant progress in utilizing weakly supervised approaches, which require only a small set of seed words for training aspect classifiers.
MVIN: Learning Multiview Items for Recommendation
From the entity view, the mixing layer contrasts layer-wise GCN information to further obtain comprehensive features from internal entity-entity interactions in the KG.
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model
Recently, researchers utilize Knowledge Graph (KG) as side information in recommendation system to address cold start and sparsity issue and improve the recommendation performance.
