CDS Faculty Member Tim G.CDS faculty member Tim G. J. Rudner received a $694,713 grant to help large language estimate and express uncertainty.3h ago3h ago
Language Models’ Prediction of Current Events Degrades Over Time, Even With Latest InformationLanguage models lose accuracy on predicting events over time, even with access to up-to-date information.2d ago2d ago
Language Models Optimize Biologically Realistic Synthetic Sequences, Potentially Helping Drug…CDS researchers unveil LLOME, which optimizes biologically realistic synthetic sequences with potential applications for drug discovery.Jan 15Jan 15
From NASA to The New York Times: CDS Data Scientists Reshape Traditional FieldsCDS grads bridge disciplines, applying data science to fields like climate research, journalism, and global development.Jan 9Jan 9
Making AI Work Reliably for Everyone: Tim G. J. Rudner’s Research Earns Multiple HonorsTim Rudner’s recent honors from UMass Amherst, AISTATS, and NeurIPS highlight his work in AI robustness and robotics.Jan 8Jan 8
Building Human-Compatible AI Through Cognitive Science: A New Path ForwardCDS researchers propose a new approach to AI: building systems that act as “thought partners,” complementing human cognition.Jan 2Jan 2
A New Framework Reveals Unintended Side Effects in AI Language Model InterventionsSmall AI model tweaks cause unintended changes: CDS Fellow Shauli Ravfogel’s work sheds light on AI interventions.Dec 20, 2024Dec 20, 2024
Learning From Others’ Mistakes: How Fine-Grained Error Data Improves Machine TranslationCDS PhD student Lily H. Zhang’s collab with Google uses fine-grained error data to improve machine translation quality.Dec 18, 2024Dec 18, 2024
From Rule-Based Systems to General Intelligence: The Evolution of AI Through Four Major Paradigm…How we think about AI has evolved from rule-based systems to generally competent systems. CDS’ Vasant Dhar explains four paradigm shifts.Dec 13, 2024Dec 13, 2024
CDS Members at NeurIPS 2024CDS researchers are presenting groundbreaking work at NeurIPS 2024, showcasing advances in AI and machine learning.Dec 12, 2024Dec 12, 2024