17 citations · 35 across the 8 of their papers we have counts for
8 papers
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas
The Abstraction and Reasoning Corpus (ARC) (Chollet, 2019) and its most recent language-complete instantiation (LARC) has been postulated as an important step towards general AI. Y…
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer +4
Entity linking methods based on dense retrieval are an efficient and widely used solution in large-scale applications, but they fall short of the performance of generative models,…
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
State-of-the-art approaches to reasoning and question answering over knowledge graphs (KGs) usually scale with the number of edges and can only be applied effectively on small inst…
Case-based Reasoning for Better Generalization in Textual Reinforcement Learning
Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan +1
Text-based games (TBG) have emerged as promising environments for driving research in grounded language understanding and studying problems like generalization and sample efficienc…
Business Entity Matching with Siamese Graph Convolutional Networks
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka +3
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automatio…
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi +6
Text-based games have emerged as an important test-bed for Reinforcement Learning (RL) research, requiring RL agents to combine grounded language understanding with sequential deci…
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge
Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla +3
In this paper, we consider the recent trend of evaluating progress on reinforcement learning technology by using text-based environments and games as evaluation environments. This…
Siamese Graph Neural Networks for Data Integration
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka +2
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automatio…