Anh Tuan Luu

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

2022

To overcome the data sparsity issue in short text topic modeling, existing methods commonly rely on data augmentation or the data characteristic of short texts to introduce more word co-occurrence information. However, most of them …

Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration

2024 · arXiv (Cornell University)

While Reinforcement Learning from Human Feedback (RLHF) significantly enhances the generation quality of Large Language Models (LLMs), recent studies have raised concerns regarding the complexity and instability associated with the Proximal Policy Optimization (PPO) algorithm, …

Multi-Pointer Co-Attention Networks for Recommendation

2018

Many recent state-of-the-art recommender systems such as D-ATT, TransNet and DeepCoNN exploit reviews for representation learning. This paper proposes a new neural architecture for recommendation with reviews. Our model operates on a multi-hierarchical paradigm and …

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

2019 · arXiv (Cornell University)

This paper tackles the problem of reading comprehension over long narratives where documents easily span over thousands of tokens. We propose a curriculum learning (CL) based Pointer-Generator framework for reading/sampling over large documents, enabling diverse …