3 citations · 5 across the 4 of their papers we have counts for
4 papers
Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
Aman Kumar, Lasitha Vidyaratne, Dipanjan D Ghosh +2
Financial disclosures may contain numerical, temporal, referential, factual, and policy inconsistencies that require different evidence and reasoning to diagnose. We study fine-gra…
Building Domain-Specific Small Language Models via Guided Data Generation
Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee +5
Large Language Models (LLMs) have shown remarkable success in supporting a wide range of knowledge-intensive tasks. In specialized domains, there is growing interest in leveraging…
CDA: Contrastive-adversarial Domain Adaptation
Nishant Yadav, Mahbubul Alam, Ahmed Farahat +3
Recent advances in domain adaptation reveal that adversarial learning on deep neural networks can learn domain invariant features to reduce the shift between source and target doma…
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz +5
Deep learning classifiers are assisting humans in making decisions and hence the user's trust in these models is of paramount importance. Trust is often a function of constant beha…