Papers by Caleb Gupta
Multi-VALUE: A Framework for Cross-Dialectal English NLP (2023.acl-long)
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| Challenge: | Current systems that focus on standard American English are not dialect invariant . current systems focus on a single dialect, which results in performance discrepancies . |
| Approach: | They propose a resource for evaluating and achieving English dialect invariance . they stress test question answering, machine translation, and semantic parsing . |
| Outcome: | The proposed system is based on a rule-based translation system spanning 50 English dialects and 189 unique linguistic features. |
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 (2023.emnlp-main)
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Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, Reihaneh Rabbany
| Challenge: | Misinformation is a critical societal challenge, and current approaches have yet to produce an effective solution. |
| Approach: | They propose to focus on generalization, uncertainty and how to leverage large language models . they propose techniques to handle uncertainty that can detect impossible examples and strongly improve outcomes . |
| Outcome: | The proposed tools outperform previous methods in multiple settings and languages. |