activity
20242026
collaborators

9 papers

cs.CY2026

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft

Zeynep Engin, Tim Gordon, Viviana Bastidas +14

The digital substrate - data, algorithms, infrastructure, platforms, applications - is being governed without adequate conceptual foundations. The ability and legitimacy required t…

cs.CL2026

Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models

Reem I. Masoud, Chen Feng, Shunta Asano +3

The global deployment of large language models (LLMs) has raised concerns about cultural misalignment, yet the linguistic properties of fine-tuning datasets used for cultural adapt…

q-fin.TR2025

An Impulse Control Approach to Market Making in a Hawkes LOB Market

Konark Jain, Nick Firoozye, Jonathan Kochems +1

We study the optimal Market Making problem in a Limit Order Book (LOB) market simulated using a high-fidelity, mutually exciting Hawkes process. Departing from traditional Brownian…

cs.CY2025

The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government

Zeynep Engin, Jon Crowcroft, David Hand +1

As artificial intelligence transforms public sector operations, governments struggle to integrate technological innovations into coherent systems for effective service delivery. Th…

cs.CL2025

Cultural Alignment in Large Language Models Using Soft Prompt Tuning

Reem I. Masoud, Martin Ferianc, Philip Treleaven +1

Large Language Model (LLM) alignment conventionally relies on supervised fine-tuning or reinforcement learning based alignment frameworks. These methods typically require labeled o…

q-fin.TR2024

Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process

Konark Jain, Nick Firoozye, Jonathan Kochems +1

Hawkes Process has been used to model Limit Order Book (LOB) dynamics in several ways in the literature however the focus has been limited to capturing the inter-event times while…