Yashvardhan Sharma
Yashvardhan Sharma has 2 papers in our library, in 2026.
OpenAlex · ORCID · h-index 14 · 102 works · 748 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 3 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #12654
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Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work
Works by year
2020s
Papers
- Stylometry at SemEval-2026 Task 13: Clustered Stylometric Modeling for Machine-Generated Code Detection (2026 · 1 citation)
The paper addresses whether a program was written by a person or produced by an LLM, as posed in SemEval-2026 Task 13 Subtask A. - VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy Detection (2026 · 1 citation)
This paper presents the VARH-AI system for Subtask 2 of SemEval-2026 Task 10 (PsyCoMark), which asks whether an English Reddit submission statement is conspiracy-related.
All works
- Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural Networks ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetAnshika Gupta et al.2023 · 6 citations
- Stylometry at SemEval-2026 Task 13: Clustered Stylometric Modeling for Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Sruthi Santhanam, Parthib Sarkar, Yashvardhan Sharma2026 · 1 citation
- VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy DetectionInternational Workshop on Semantic Evaluation (SemEval)Hritav Solanki, Shubham Sharma, Manish Prasad, et al.2026 · 1 citation
- Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks ↗arXiv:2305.04100 · no summary yetAnshika Gupta et al.2023
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