10 citations · 21 across the 9 of their papers we have counts for
4 papers · 1 filter
Measures of Information Reflect Memorization Patterns
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
Neural networks are known to exploit spurious artifacts (or shortcuts) that co-occur with a target label, exhibiting heuristic memorization. On the other hand, networks have been s…
LM-CORE: Language Models with Contextually Relevant External Knowledge
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal +2
Large transformer-based pre-trained language models have achieved impressive performance on a variety of knowledge-intensive tasks and can capture factual knowledge in their parame…
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Rachit Bansal, Milan Aggarwal, Sumit Bhatia +2
Pre-trained Language Models (PTLMs) have been shown to perform well on natural language tasks. Many prior works have leveraged structured commonsense present in the form of entitie…
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho +2
It is widely accepted in the mode connectivity literature that when two neural networks are trained similarly on the same data, they are connected by a path through parameter space…