Papers by Chenlu Wang
Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse (2024.findings-acl)
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| Challenge: | Existing studies on whataboutism have focused on tracking "what about" phrases, but they neglect the unique challenges to its detection. |
| Approach: | They propose to use attention weights to distinguish the ‘what about’ lexical construct from whataboutism by using Twitter/X and YouTube datasets. |
| Outcome: | The proposed method improves by 4% and 10% over previous state-of-the-art methods in Twitter and YouTube datasets. |
Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks (2025.acl-long)
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| Challenge: | Existing classifiers for detecting deviant language often come with significant computational cost and high data demands. |
| Approach: | They propose a class-disstillation paradigm that targets the core challenge: distilling a small, well-defined target class from a heterogeneous background. |
| Outcome: | The proposed training paradigm outperforms baselines and large language models on three benchmarks. |