Papers by Rohit Sridhar
Explaining Toxic Text via Knowledge Enhanced Text Generation (2022.naacl-main)
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| Challenge: | Existing work on toxic speech classification relies on generic and repetitive explanations . elucidating toxic speech can help with downstream tasks such as debiasing . |
| Approach: | They propose a knowledge-informed encoder-decoder framework to generate toxic text explanations . they use multiple knowledge sources to generate detailed explanations of toxic text . |
| Outcome: | The proposed model outperforms state-of-the-art models significantly in generating toxic explanations . the proposed model can generate detailed explanations of toxic speech compared to baselines compared with baseline models . |
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models (2022.findings-naacl)
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| Challenge: | Existing work identifies task-specific shortcuts via human priors or error analyses, which requires extensive expertise and efforts. |
| Approach: | They propose to automatically identify spurious correlations in NLP models at scale by using existing interpretability methods to extract tokens that significantly affect model’s decision process. |
| Outcome: | The proposed method can identify spurious correlations in NLP models at scale and mitigate these leads to more robust models in multiple applications. |