When: Friday, 4/18/25 11:00 am; Where: Bliss 260 Abstract: Can large language models (LLMs) help with planning? And how should we even measure that ability? In this talk, I will present our work on Planetarium, a benchmark that evaluates LLMs’ ability to generate PDDL (Planning Domain Definition Language) code from natural language descriptions of planning […]

When: Friday, 3/7 11 am – 12 pm; Where: Tyler Hall 055. Abstract: Generative AI is transforming how machines interact with and augment human capabilities. However, achieving artificial general intelligence (AGI) requires addressing significant challenges in retrained language models (PLM) and multimodal large language models (MLLMs), including the brittleness of language model fine-tuning, imbalanced vision-language […]

When: Thursday, 3/6 11 am – 12 pm; Where: Tyler Hall 055 Abstract: This talk explores the advancement of Hypergraph Neural Networks (HyperGNNs) as a powerful extension of Graph Neural Networks (GNNs) to model higher-order relationships in complex systems, particularly in biomedical applications. While traditional GNNs struggle to capture higher-order intricate dependencies, HyperGNNs leverage hypergraphs […]

When: Tuesday, 3/4 11 am – 12 pm. Where: Tyler Hall 055. Abstract Artificial intelligence is increasingly performing high-stakes tasks traditionally reserved for skilled professionals, with AI systems often surpassing human expert performance on specific tasks. Despite these advances, the “black box” (i.e., uninterpretable) nature of many machine learning algorithms poses significant challenges. These opaque […]

When: Thursday, 2/27 11:00 am Where: Tyler Hall 055 Abstract: Artificial intelligence (AI) has achieved remarkable performance across various domains. In most real-world applications, data often takes relational forms, such as graphs and networks, or sequential forms, such as text and time series. As AI evolves, specialized models have emerged to handle these structures—Graph Neural […]

When: Friday April 5. – noon-1 p.m. Where: Bliss 190 This talk delves into the transformative potential of generative AI and foundation models in both scientific research and higher education. Foundation models represent a seismic shift in AI capabilities, empowering researchers to analyze data, generate hypotheses, and uncover knowledge with unprecedented efficiency. Trained on vast […]

When: Friday, March 22, from 2:00 PM to 3:00 PM Where: ENGR 045 Abstract: Quantile regression is a powerful tool for robust and heterogeneous learning that has seen applications in a diverse range of applied areas. Its broader application, however, is often hindered by the substantial computational demands arising from the nonsmooth quantile loss function. […]