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Mohammad Shahed Sorower

Observed names: Mohammad S Sorower, Mohammad S. Sorower, Sorower, Mohammad, Sorower, Mohammad S, Sorower, Mohammad Shahed, Sorower, Mohammed Shahed
OpenAlex ID: A5043759639
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
2011 · Mohammad S. Sorower, Janardhan Rao Doppa, et al. · Digital Commons - George Fox University (George Fox University) · 17
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Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
2025 · Alberto Purpura, Sahil Wadhwa, et al. · Workshop on Trustworthy NLP (TrustNLP) · 11
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What Speech Tells Us About Discourse: The Role of Prosodic and Discourse Features in Speech Act Classification
2007 · Mohammed E. Hoque, Mohammad S. Sorower, et al. · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 8
Learning Rules from Incomplete Examples via Implicit Mention Models
2011 · Janardhan Rao Doppa, Mohammad S. Sorower, et al. · Asian Conference on Machine Learning · 5
Towards learning rules from natural texts
2010 · Janardhan Rao Doppa, Mohammad NasrEsfahani, et al. · North American Chapter of the Association for Computational Linguistics · 5
A systematic study on latent semantic analysis model parameters for mining biomedical literature
2009 · Mohammed Yeasin, Haritha Malempati, et al. · BMC Bioinformatics · 4
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Improving Disease Named Entity Recognition for Clinical Trial Matching
2019 · Md Abdullah Al Hafiz Khan, Nevenka Dimitrova, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 3
Robust Classification of Objects using a Sparse Detector Sensor.
2008 · Mohammed Yeasin, David J. Russomanno, et al. · International Conference on Artificial Intelligence · 3
Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
2025 · Rad, Melissa Kazemi, Nghiem, Huy, et al. · arXiv (Cornell University) · 1
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Improving Automated Email Tagging with Implicit Feedback
2015 · Mohammad S. Sorower, Michael Slater, et al. · ACM Symposium on User Interface Software and Technology (UIST) · 1
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STELP: Secure Transpilation and Execution of LLM-Generated Programs
2026 · Shinde, Swapnil, Wadhwa, Sahil, et al. · arXiv (Cornell University)
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Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
2025 · Purpura, Alberto, Wadhwa, Sahil, et al. · arXiv (Cornell University)
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GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
2025 · Melissa Kazemi Rad, Alberto Purpura, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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BoostER: A Performance Boosting Module for Biomedical Entity Recognition
2019 · Rahul Pandey, Md Shamsuzzaman, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Learning Rules from Incomplete Examples via Implicit Mention Models
2011 · Orr, J. Walker, Doppa, Janardhan Rao, et al. · Digital Commons - George Fox University (George Fox University)
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Learning Rules from Incomplete Examples: A Pragmatic Approach
2010 · Janardhan Rao Doppa, Mohammad NasrEsfahani, et al. · North American Chapter of the Association for Computational Linguistics
Robust Classification of Dialog Acts from the Transcription of Utterances
2007 · Mohammad S. Sorower, Mohammed Yeasin · IEEE International Conference on Semantic Computing (ICSC)
Robust Classification of Dialog Acts from the Transcription of Utterances
2007 · Mohammad S. Sorower, Mohammed Yeasin · IEEE International Conference on Semantic Computing (ICSC)
Works count: 25
Citation count: 58
H-index: 5
I10-index: 2
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