1 citations · 1 across the 6 of their papers we have counts for
7 papers
Did I See It or Think It? Probing Reality Monitoring in Vision-Language Models with Concept Injection
Tina Khezresmaeilzadeh, Seyedarmin Azizi, Mehdi Kamal +1
Recent work tests whether language models can introspect by injecting a concept direction into their activations and asking whether they notice it and can name it. These studies ar…
VRIQ: Benchmarking and Diagnosing the Visual-Reasoning IQ of Vision-Language Models
Tina Khezresmaeilzadeh, Jike Zhong, Konstantinos Psounis
Vision-language model (VLM) errors on visual reasoning may come from missing visual structure, from mistakes after that structure is extracted, or from both. We introduce VRIQ, a b…
Preserving Privacy and Utility in LLM-Based Product Recommendations
Tina Khezresmaeilzadeh, Jiang Zhang, Dimitrios Andreadis +1
Large Language Model (LLM)-based recommendation systems leverage powerful language models to generate personalized suggestions by processing user interactions and preferences. Unli…
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
Tina Khezresmaeilzadeh, Parsa Razmara, Seyedarmin Azizi +2
Stock price prediction remains a complex and high-stakes task in financial analysis, traditionally addressed using statistical models or, more recently, language models. In this wo…
CATS: A framework for Cooperative Autonomy Trust & Security
Namo Asavisanu, Tina Khezresmaeilzadeh, Rohan Sequeira +4
With cooperative perception, autonomous vehicles can wirelessly share sensor data and representations to overcome sensor occlusions, improving situational awareness. Securing such…
Echoes of Privacy: Uncovering the Profiling Practices of Voice Assistants
Tina Khezresmaeilzadeh, Elaine Zhu, Kiersten Grieco +3
Many companies, including Google, Amazon, and Apple, offer voice assistants as a convenient solution for answering general voice queries and accessing their services. These voice a…
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
Parsa Razmara, Tina Khezresmaeilzadeh, B. Keith Jenkins
The COVID-19 pandemic has underscored the necessity for advanced diagnostic tools in global health systems. Infrared Thermography (IRT) has proven to be a crucial non-contact metho…