Conversational Modeling for Healthcare Communication

Beyond Benchmarks: Human-Aligned Evaluation Frameworks for Large Language Models

Modeling Affect in Speech and Language in the Presence of Natural Inconsistency

Codes & Lattices: Computational Complexity and Constructions

A Qualitative Exploration of Programming Instruction for Alternative Endpoints in Post-Secondary Computing Education

Evaluating and Designing Defenses against Input Perturbation Attacks on Black-Box Machine-Learning Models

Measuring and Mitigating Adversarial Intermediaries on the Global Internet

Towards Scalable and Stable Machine Learning in Clinical Contexts: Addressing Computational Efficiency and Dataset Shift

Enhancing Security, Safety, and Reliability of Modern Cyber-physical Systems

Towards Generalist Vision-Language Models for Videos in Embodied AI

Towards Controllability, Efficiency, and Trustworthiness of Text Generation Systems

Efficiently Scaling Machine Learning Systems Across Heterogeneous Resources

Streamlining High-Performance Heterogeneous Hardware Design

Towards Having Personalized, Situated, and Grounded Conversations with Human Like Human

Domain-specific Benchmarks and Architectures for Applications using Graph-based Data

User-Centric Machine Learning Systems

Leveraging Priors of Generative Models

Usable and Ubiquitous Privacy-Aware Sensing Devices

Situated Language Grounding for Multimodal AI Assistant Modeling

Unfairness Detection and Evaluation in Data-driven Decision-making Algorithms

Leveraging Data Semantics for Relational Data Management Tasks

Algorithm-Hardware Co-design For Efficiency Optimization Of Machine Learning Workloads

Increasing The Practicality Of Verification Using Incomplete Solutions

Streaming Sketching: Mathematical Theory and Practical Algorithms

Tool-Use Robot Manipulation Tasks for Cooperative and Explainable Operations in Safety-Critical Domains