Author

L. D. M. S. Sai Teja

Observed names: L D M S Sai Teja, Teja, L D M S S, Teja, L D M S Sai, Teja, L. D. M. S. Sai

Institution: National Institute Of Technology Silchar

Observed institution: National Institute Of Technology Silchar

OpenAlex ID: A5130382847

Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations

2026 · L. D. M. S. Sai Teja, Annepaka Yadagiri, et al. · International Conference on Ubiquitous Information Management and Communication (IMCOM) · 2

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DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution

2026 · L D M S Sai Teja, N Siva Gopala Krishna, et al. · Findings of the Association for Computational Linguistics: EACL · 1

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AI-Generated Text Detection Using DeBERTa with Auxiliary Stylometric Features

2025 · Annepaka Yadagiri, L. D. M. S. Sai Teja, et al. · 1

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Composition, Not Conversation: VLMs Lose the Scene, Not the Thread

2026 · Teja, L. D. M. S. Sai, Khan, Ufaq, et al. · arXiv (Cornell University)

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Last Translation Benchmark

2026 · Zouhar, Vilém, Bafna, Niyati, et al. · Publikationen an der Universität Bielefeld (Universität Bielefeld)

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MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning

2026 · Urlana, Ashok, Teja, L. D. M. S. Sai, et al. · arXiv (Cornell University)

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PolyAlign: Conditional Human-Distribution Alignment

2026 · Teja, L. D. M. S. Sai, Khan, Ufaq, et al. · arXiv (Cornell University)

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Aurora: Adaptive Unified Representation for Robust Ultrasound Analysis

2026 · Ufaq Khan, L D M S Sai Teja, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)

MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

2026 · Khan, Ufaq, Nawaz, Umair, et al. · arXiv (Cornell University)

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AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis

2026 · Khan, Ufaq, Teja, L. D. M. S. Sai, et al. · arXiv (Cornell University)

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AGIC: Attention-Guided Image Captioning to Improve Caption Relevance

2026 · Association for Computational Linguistics 2026, Mishra, Pruthwik, et al. · Underline Science Inc.

DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution

2026 · Association for Computational Linguistics 2026, Khan, Muhammad Haris, et al. · Underline Science Inc.

AGIC: Attention-Guided Image Captioning to Improve Caption Relevance

2026 · L D M S Sai Teja, Ashok Urlana, et al. · Findings of the Association for Computational Linguistics: EACL

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DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution

2025 · Teja, L. D. M. S. Sai, Krishna, N. Siva Gopala, et al. · arXiv (Cornell University)

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Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation

2025 · Association for Computational Linguistics 2025, Annepaka, Yadagiri, et al. · Underline Science Inc.

Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation

2025 · L D M S Sai Teja, Annepaka Yadagiri, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)

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Works count: 16

Citation count: 4

H-index: 1

I10-index: