65 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern UniversityUS2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- Ben-Gurion University of the NegevIL1 paper
- Boğaziçi UniversityTR1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Brown UniversityUS1 paper
- California Institute of TechnologyUS1 paper
- California Polytechnic State UniversityUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Case Western Reserve UniversityUS1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
6 papers
Continuum Variability in AGN: Evidence for Systematically Suppressed Fluctuations in the BAL Population
A. Aliaga, P. Arévalo, M. L. Martínez-Aldama +2
We aim to compare the flux variability of Broad Absorption Line quasars (BAL) to non-BAL quasars, controlling for black hole parameters to inform models concerning the generation o…
Evaluating Advanced Prompting on Gemini Flash for Multi-Hop Biomedical QA
Ahmed Bajaber, Mohammed Alliheedi
The MedHopQA challenge presents a critical test for Large Language Models (LLMs): complex, multi-hop reasoning in the high-stakes biomedical domain. This paper details our direct A…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
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…
Deep learning for action spotting in association football videos
Silvio Giancola, Anthony Cioppa, Bernard Ghanem +1
The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extra…
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors
Khalid Alhazmi, Fahad Albalawi, S. Mani Sarathy
Economic model predictive control (EMPC) is a promising methodology for optimal operation of dynamical processes that has been shown to improve process economics considerably. Howe…
Implicit learning of object geometry by reducing contact forces and increasing smoothness
Daohang Sha, James L. Patton, Ferdinando A. Mussa-Ivaldi
Moving our hands smoothly is essential to execute ordinary tasks, such as carrying a glass of water without spilling. Past studies have revealed a natural tendency to generate smoo…