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Author

Ebad Shabbir

Observed name: Shabbir, Ebad
ORCID: 0009-0003-0062-9159
Observed ORCID: 0009-0003-0062-9159
OpenAlex ID: A5119042124
Do Large Language Models Reflect Demographic Pluralism in Safety?
2026 · Usman Naseem, Gautam Siddharth Kashyap, et al. · Findings of the Association for Computational Linguistics: EACL · 2
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CLARITY: A Lightweight Multimodal Transformer for Harmful Content Detection
2025 · Gautam Siddharth Kashyap, Niharika Jain, et al. · IEEE Transactions on Artificial Intelligence · 2
Natural Language Processing (NLP) for Supply Chains
2026 · Ebad Shabbir · Productivity Press eBooks · 1
Beyond Specialization: A Comprehensive Evaluation of General-Purpose Versus Medical Domain-Specific Large Language Models for Biomedical Question Answering
2025 · Sushant Kumar Ray, Ebad Shabbir, et al. · IEEE ... International Conference on Data Mining workshops · 1
AI for Smart Transportation: Road Safety, Traffic Flow, and Accident Prevention
2026 · Ebad Shabbir · Chapman & Hall/CRC eBooks
AVATAR: Audio-Visual Adaptive Fusion via Trained Agent Reinforcement for Multimodal Deepfake Detection
2026 · Ebad Shabbir, Pushkar Arora, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Are Large Language Models Economically Viable for Industry Deployment?
2026 · Mohammad, Abdullah, Ray, Sushant Kumar, et al. · arXiv (Cornell University)
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Can Large Language Models Make Everyone Happy?
2026 · Naseem, Usman, Kashyap, Gautam Siddharth, et al. · arXiv (Cornell University)
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Are Aligned Large Language Models Still Misaligned?
2026 · Naseem, Usman, Kashyap, Gautam Siddharth, et al. · arXiv (Cornell University)
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Do Large Language Models Reflect Demographic Pluralism in Safety?
2026 · Naseem, Usman, Kashyap, Gautam Siddharth, et al. · arXiv (Cornell University)
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Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
2026 · Kashyap, Gautam Siddharth, Joshi, Harsh, et al. · arXiv (Cornell University)
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Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
2026 · Gautam Siddharth Kashyap, Harsh Joshi, et al. · Findings of the Association for Computational Linguistics: EACL
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Are Large Language Models Economically Viable for Industry Deployment?
2026 · Abdullah Mohammad, Sushant Kumar Ray, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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FROST: Factual Reasoning via Optimized Stochastic Trajectories in Large Language Models during Inference
2026 · Soumedhik Bharati, Ebad Shabbir, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Truth, Trust, and Trouble: Medical AI on the Edge
2025 · Azeez, Mohammad Anas, Ali, Rafiq, et al. · arXiv (Cornell University)
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LLMs on a Budget? Say HOLA
2025 · Siddiqui, Zohaib Hasan, Gao, Jiechao, et al. · arXiv (Cornell University)
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Can Argus Judge Them All? Comparing VLMs Across Domains
2025 · Joshi, Harsh, Kashyap, Gautam Siddharth, et al. · arXiv (Cornell University)
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Truth, Trust, and Trouble: Medical AI on the Edge
2025 · Mohammad Anas Azeez, Rafiq Ali, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LLMs on a Budget? Say HOLA
2025 · Zohaib Hasan Siddiqui, Jiechao Gao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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TSR@CASE 2025: Low Dimensional Multimodal Fusion Using Multiplicative Fine Tuning Modules
2025 · Sushant Kr. Ray, Rafiq Ali, et al.
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Works count: 20
Citation count: 6
H-index: 2
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