Aditya Shah
ML Research Engineer at Google focused on Gemini Foundation Models
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Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
January 1, 2025A research paper on the advancements and capabilities of the Gemini 2.5 model.
What’s in a cue?: Using natural language processing to quantify content characteristics of episodic future thinking in the context of overweight and obesity
January 1, 2025A research paper exploring the use of NLP to quantify characteristics of episodic future thinking in relation to overweight and obesity.
Did you tell a deadly lie? evaluating large language models for health misinformation identification
January 1, 2024Research evaluating large language models for their ability to identify health misinformation.
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
January 1, 2023Research on multimodal fact-checking and explanation generation, presenting a new challenging dataset and models.
Adept: Adapter-based efficient prompt tuning approach for language models
January 1, 2023A research paper proposing an adapter-based efficient prompt tuning approach for language models.
Retrieval-based text selection for addressing class-imbalanced data in classification
January 1, 2023A study on using retrieval-based text selection to handle class-imbalanced data in classification problems.
Leveraging Transformer Models and Elasticsearch to Help Prevent and Manage Diabetes through EFT Cues
January 1, 2023Aditya Shah's Master's thesis, focusing on using Transformer models and Elasticsearch for diabetes prevention and management.
Filming multimodal sarcasm detection with attention
January 1, 2021A paper exploring multimodal sarcasm detection using attention mechanisms.
How effective is incongruity? Implications for code-mixed sarcasm detection
January 1, 2021A paper discussing the effectiveness of incongruity in code-mixed sarcasm detection.
Evolution of Neural Text Generation: Comparative Analysis
January 1, 2020A comparative analysis of various neural text generation algorithms, showcasing the benefits of context-dependent models like ELMo, BERT, and GPT-2.
Leveraging quantum computing for supervised classification
January 1, 2020Research on using quantum computing for supervised classification tasks.
Texture Synthesis and Style Transfer for Aesthetic Design Creation
January 1, 2019A publication on texture synthesis and style transfer, likely related to his undergraduate thesis.
Art of Quantum blog
January 1, 2019A blog founded by Aditya Shah to publish tutorials and explain key concepts of Quantum Machine Learning using Python and IBM's Qiskit framework.