research
∙
09/16/2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Recently, the development of large language models (LLMs) has been signi...
share
research
∙
09/13/2023
Towards the TopMost: A Topic Modeling System Toolkit
Topic models have been proposed for decades with various applications an...
research
∙
09/03/2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabili...
research
∙
06/16/2023
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System
Dialogue systems and large language models (LLMs) have gained considerab...
research
∙
06/07/2023
Effective Neural Topic Modeling with Embedding Clustering Regularization
Topic models have been prevalent for decades with various applications. ...
research
∙
05/25/2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
Semi-supervised learning has been an important approach to address chall...
research
∙
05/22/2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product rev...
research
∙
05/19/2023
Zero-Shot Text Classification via Self-Supervised Tuning
Existing solutions to zero-shot text classification either conduct promp...
research
∙
04/07/2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Cross-lingual topic models have been prevalent for cross-lingual text an...
research
∙
11/23/2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
To overcome the data sparsity issue in short text topic modeling, existi...
research
∙
11/18/2022
How to train your draGAN: A task oriented solution to imbalanced classification
The long-standing challenge of building effective classification models ...
research
∙
11/07/2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
Modern Review Helpfulness Prediction systems are dependent upon multiple...
research
∙
07/05/2022
Vision-and-Language Pretraining
With the burgeoning amount of data of image-text pairs and diversity of ...
research
∙
05/24/2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
Deep learning models have achieved great success in many fields, yet the...
research
∙
10/25/2021
Contrastive Learning for Neural Topic Model
Recent empirical studies show that adversarial topic models (ATM) can su...
research
∙
10/15/2021
Graph Neural Networks with Learnable Structural and Positional Representations
Graph neural networks (GNNs) have become the standard learning architect...
research
∙
09/22/2021
Enriching and Controlling Global Semantics for Text Summarization
Recently, Transformer-based models have been proven effective in the abs...
research
∙
07/28/2021
Towards Robustness Against Natural Language Word Substitutions
Robustness against word substitutions has a well-defined and widely acce...
research
∙
02/17/2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
Recent works have demonstrated reasonable success of representation lear...
research
∙
11/12/2018
Holistic Multi-modal Memory Network for Movie Question Answering
Answering questions according to multi-modal context is a challenging pr...
research
∙
05/29/2018
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation
Dating and romantic relationships not only play a huge role in our perso...
research
∙
12/14/2017
Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) tries to predict the polarity of ...
research
∙
07/17/2017