8 citations · 17 across the 20 of their papers we have counts for
5 papers · 1 filter
DialogXpert: Driving Intelligent and Emotion-Aware Conversations through Online Value-Based Reinforcement Learning with LLM Priors
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon +2
Large-language-model (LLM) agents excel at reactive dialogue but struggle with proactive, goal-driven interactions due to myopic decoding and costly planning. We introduce DialogXp…
Are Graph Attention Networks Able to Model Structural Information?
Farshad Noravesh, Reza Haffari, Layki Soon +1
Graph Attention Networks (GATs) have emerged as powerful models for learning expressive representations from such data by adaptively weighting neighboring nodes through attention m…
LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
Farshad Noravesh, Reza Haffari, Layki Soon +1
Hierarchical graph pooling(HGP) are designed to consider the fact that conventional graph neural networks(GNN) are inherently flat and are also not multiscale. However, most HGP me…
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
Vy Vo, Lizhen Qu, Tao Feng +6
Identifying cause-and-effect relationships is critical to understanding real-world dynamics and ultimately causal reasoning. Existing methods for identifying event causality in NLP…
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks
Farshad Noravesh, Reza Haffari, Ong Huey Fang +3
Many models are proposed in the literature on biomedical event extraction(BEE). Some of them use the shortest dependency path(SDP) information to represent the argument classificat…