🧑‍🔬 Who cites Abhinav Lalwani

78 citations of their works from 75 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← Abhinav Lalwani

1. A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.2024 · 64 citations
2. SemEval-2026 Task 6: CLARITY – Unmasking Political Question EvasionsInternational Workshop on Semantic Evaluation (SemEval)Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou, et al.2026 · 25 citations
3. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
4. SR-LLM: Rethinking the Structured Representation in Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Tianheng Wang, Hanqing Wu, et al.2025 · 11 citations
5. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical ExpressionFindings of the Association for Computational LinguisticsJingyu Peng, Maolin Wang, Nan Wang, et al.2026 · 8 citations
6. Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations
7. MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social MediaEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopMatin Salami, Luca M. Rodia, Vladimir Schiau, et al.2026 · 1 citation
8. PuDy at FadeIT: Enhancing Fine-Grained Fallacy Detection with Hierarchy-Aware Training and Contextual EnrichmentEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopDuy Dang Phu, Son Bui Hong, Dang Van Thin2026 · 1 citation
9. Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language ModelsarXiv:2405.12884Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.2024 · 1 citation
10. Beyond Detection: Evaluating Fallacy Awareness of LLMs in Interactive ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Conghui Niu, Ningxin Wu, Ziran Zhao, et al.2026
11. Beyond Logical Forms: LLM-Extracted Patterns for Fallacy ClassificationWorkshop on Argument MiningEleni Papadopulos, Firoj Alam, Giovanni Da San Martino2026
12. Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented DataAnnual Meeting of the Association for Computational Linguistics (ACL)Navyansh Singh2026
13. From Emotion to Expression: Theoretical Foundations and Resources for Fear SpeechConference of the European Chapter of the Association for Computational Linguistics (EACL)Vigneshwaran Shankaran, Gabriella Lapesa, Claudia Wagner2026
14. Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical ArgumentationAnnual Meeting of the Association for Computational Linguistics (ACL)Minjing Shi, Junling Wang, Jingwei Ni, et al.2026

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