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Join a research colloquium presentation where Alexander Spangher, a USC PhD candidate, explores innovative approaches to enable large language models (LLMs) to plan effectively in creative contexts. Discover a three-pillar research agenda focusing on observing plans through long-range text modeling, improving planning strategies through hierarchical modeling, and executing plans using classifier-free guidance. Learn how these approaches are being applied specifically to journalism, helping reporters find sources and support their writing processes. Gain insights into the challenges of training models for creative tasks where goals and rewards are less defined compared to mathematical or coding domains. Understand how Spangher's work has influenced major newsrooms including the New York Times and Bloomberg, while earning recognition through multiple outstanding paper awards at prestigious conferences. Explore the intersection of artificial intelligence, creative planning, and practical applications in journalism during this hour-long academic presentation.
