Direct Preference Optimization

Overview Download the presentation slides Today in our AI/ML seminar, we were pleased to have Maliha Zahan Chowdhury as the presenter. Maliha is a first-year PhD student in Dr. Zhishuai Guo’s research group. Her talk focused on Direct Preference Optimization (DPO), primarily based on the original 2023 DPO paper. Although the paper was published only three years ago, it has already been cited nearly 8,000 times, reflecting its significant impact on LLM alignment and optimization research. ...

February 27, 2026 · 1 min · Maliha Zahan Chowdhury

On the Theoretical Limitations of Embedding-Based Retrieval

Overview On October 3, 2025, Md. Toyaha Rahman Ratul, a Ph.D. student at Northern Illinois University, presented a recent paper titled “On the Theoretical Limitations of Embedding-Based Retrieval,” authored by researchers from Google DeepMind and Johns Hopkins University. The paper formally examines and reveals the inherent limitations of single-embedding-based retrieval methods—approaches widely adopted in both industry and academia—thereby having a significant impact on the research community. ...

October 3, 2025 · 1 min · Md. Toyaha Rahman Ratul,