Papers by Wenzhi Wang
Identification of Multiple Logical Interpretations in Counter-Arguments (2025.emnlp-main)
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Wenzhi Wang, Paul Reisert, Shoichi Naito, Naoya Inoue, Machi Shimmei, Surawat Pothong, Jungmin Choi, Kentaro Inui
| Challenge: | Counter-arguments (CAs) are a good way to improve learners' critical thinking skills . however, it is difficult to provide every learner tailored feedback due to limited human resources and heavy workloads. |
| Approach: | They propose to annotate a dataset of 134 CAs annotated with 13 logical predicate questions and train a model with Reinforcement Learning with Verifiable Rewards to identify multiple logical interpretations. |
| Outcome: | The proposed model performs on par with larger proprietary models. |
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling (2024.emnlp-main)
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Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui
| Challenge: | Prior work on quality assessment has focused on numerical scoring and fallacy type-labeling tasks, without aiming to analyze fallacy logic structures. |
| Approach: | They propose four sets of explainable templates for common informal logical fallacies designed to explicate a fallacy’s implicit logic. |
| Outcome: | The proposed models achieve a high agreement score and reasonable coverage 83% on 400 fallacious arguments and state-of-the-art language models struggle with detecting fallacy templates (0.47 accuracy). |
Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment (2025.emnlp-main)
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| Challenge: | Recent studies have shown that Contrastive Language-Image Pre-training (CLIP) models are vulnerable to data poisoning and backdoor attacks due to massive training image-caption pairs crawled from the Internet. |
| Approach: | They propose an Optimal Transport-based framework to reconstruct image-caption pairs and propose an optimal transport-based distance measure to re-assign new captions based on the proposed optimal transport distance. |
| Outcome: | The proposed framework reduces the attack success rates of poisoning attacks to 0% in most cases. |
Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis (2024.findings-emnlp)
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Shoichi Naito, Wenzhi Wang, Paul Reisert, Naoya Inoue, Camélia Guerraoui, Kenshi Yamaguchi, Jungmin Choi, Irfan Robbani, Surawat Pothong, Kentaro Inui
| Challenge: | Despite their effectiveness, the logical attack structure of counterarguments remains unexplored due to its complexity. |
| Approach: | They propose a task to analyze logical attack structure of counterarguments in relation to their corresponding opponent argument using 10 new CA logic patterns. |
| Outcome: | The proposed task achieves high annotator agreement and coverage and high coverage on a dataset of 778 CAs. |