1.9k citations
- University of ChicagoUS60 papers
- Microsoft (United States)US23 papers
- Carnegie Mellon UniversityUS20 papers
- Massachusetts Institute of TechnologyUS18 papers
- Google (United States)US16 papers
- Technion – Israel Institute of TechnologyIL16 papers
- University of California, BerkeleyUS16 papers
- Princeton UniversityUS12 papers
- The University of Texas at AustinUS12 papers
- Toyota Technological InstituteJP10 papers
- University of TorontoCA10 papers
- University of WashingtonUS10 papers
366 papers
Autoregressive Modeling of Film with Applications in Video Montage
Marcelo Sandoval-Castañeda, Fabian Caba Heilbron, Shiry Ginosar +4
This work introduces FilmGPT, an autoregressive transformer designed to address the challenge of video montage--turning a collection of raw, "unwatchable" footage into coherent cin…
Approximation algorithms for satisfiable and nearly satisfiable ordering CSPs
Yury Makarychev
We study approximation algorithms for satisfiable and nearly satisfiable instances of ordering constraint satisfaction problems (ordering CSPs). Ordering CSPs arise naturally in ra…
Almost-Optimal Approximation Algorithms for Global Minimum Cut in Directed Graphs
Ron Mosenzon
We develop new -approximation algorithms for finding the global minimum edge-cut in a directed edge-weighted graph, and for finding the global minimum vertex-cut in a direct…
EditDuet: A Multi-Agent System for Video Non-Linear Editing
Marcelo Sandoval-Castaneda, Bryan Russell, Josef Sivic +2
Automated tools for video editing and assembly have applications ranging from filmmaking and advertisement to content creation for social media. Previous video editing work has mai…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Score Design for Multi-Criteria Incentivization
Anmol Kabra, Mina Karzand, Tosca Lechner +2
We present a framework for designing scores to summarize performance metrics. Our design has two multi-criteria objectives: (1) improving on scores should improve all performance m…