Papers by Amartya Roy
On the effective transfer of knowledge from English to Hindi Wikipedia (2025.coling-industry)
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| Challenge: | Existing studies show that in low-resource languages, Wikipedia articles on the same topic differ significantly due to cultural relevance and the varied expertise of contributors. |
| Approach: | They propose a lightweight framework to enhance knowledge equity between English and Hindi Wikipedia sections by extracting relevant information from external resources readily available. |
| Outcome: | The proposed framework enhances Hindi Wikipedia articles by 65% and 62% based on automatic and human judgment-based evaluations. |
CryptOpiQA: A new Opinion and Question Answering dataset on Cryptocurrency (2025.coling-main)
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| Challenge: | Using a dataset of tweets and Reddit, we investigate the public opinion on cryptocurrency and bitcoin on Twitter and RedDit. |
| Approach: | They create a dataset to investigate the public opinion on cryptocurrency and bitcoin on Twitter and Reddit. |
| Outcome: | The proposed dataset contains gold standard and silver standard labels and a question-answering sub-corpus. |
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery (2025.findings-emnlp)
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| Challenge: | Current causal discovery methods rely on pairwise or iterative strategies that fail to capture global dependencies, amplify local biases, and reduce overall accuracy. |
| Approach: | They propose a framework for one-step full causal graph discovery using prompt-based discovery and a data-driven method for settings without metadata. |
| Outcome: | The proposed framework outperforms state-of-the-art models by approximately 40% in edge accuracy on datasets like Asia and Sachs while maintaining strong performance on more complex graphs. |