Search Results for author:
Found 6 papers, 1 papers with code
Dense Retrieval Adaptation using Target Domain Description
In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain.
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Paraphrase generation is a fundamental and long-standing task in natural language processing.
Federated Natural Language Generation for Personalized Dialogue System
FedNLG first pre-trains parameters of standard neural conversational model over a large dialogue corpus, and then fine-tune the model parameters and persona embeddings on specific datasets, in a federated manner.
On the Evolution of Spreading Processes in Complex Networks
In this paper, we investigate the evolution of spreading processes on complex networks with the aim of i) revealing the role of evolution on the threshold, probability, and final size of epidemics; and ii) exploring the interplay between the structural properties of the network and the dynamics of evolution.
Physics and Society Social and Information Networks
Field-aware factorization machines for CTR prediction
Models based on degree-2 polynomial mappings and factorization machines (FMs) are widely used for this task.
