149 citations
- JPMorgan Chase & Co (United States)US3 papers
- Morgan Stanley (United Kingdom)GB3 papers
- Boston UniversityUS2 papers
- University of MichiganUS2 papers
- Arthur Ashe Learning CenterUS1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Budapest InstituteHU1 paper
- Budapest University of Technology and EconomicsHU1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Collegium BudapestHU1 paper
- Columbia UniversityUS1 paper
- Emory UniversityUS1 paper
25 papers
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
Kiwan Kwon, Kangmin Kim, Hojin Lee +5
Synthetic sequential tabular data are increasingly used for privacy-preserving data sharing and research, yet conventional tabular metrics often overlook temporal structure. Existi…
Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration
Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz +4
Organizations around the world schedule jobs (programs) regularly to perform various tasks dictated by their end users. With the major movement towards using a cloud computing infr…
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products
Leo Ardon, Benjamin Patrick Evans, Deepeka Garg +3
We develop a novel two-layer approach for optimising mortgage relief products through a simulated multi-agent mortgage environment. While the approach is generic, here the environm…
AI in Investment Analysis: LLMs for Equity Stock Ratings
Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds +1
Investment Analysis is a cornerstone of the Financial Services industry. The rapid integration of advanced machine learning techniques, particularly Large Language Models (LLMs), o…
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
William Watson, Nicole Cho, Tucker Balch +1
A myriad of different Large Language Models (LLMs) face a common challenge in contextually analyzing table question-answering tasks. These challenges are engendered from (1) finite…
Search-based Optimisation of LLM Learning Shots for Story Point Estimation
Vali Tawosi, Salwa Alamir, Xiaomo Liu
One of the ways Large Language Models (LLMs) are used to perform machine learning tasks is to provide them with a few examples before asking them to produce a prediction. This is a…