Raad Khraishi

According to our database, Raad Khraishi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes.

Alankar Atreya, Stefan Sylvius Wanger, Devesh Batra, Robert Hankache, Cristovao Iglesias, Patrick Sinclair, Giulio Pelosio, Michael McMillan, Greig A. Cowan, Raad Khraishi

CoRR, May, 2026

Evaluating Performance Drift from Model Switching in Multi-Turn LLM Systems.

Raad Khraishi, Iman Zafar, Katie Myles, Greig A. Cowan

CoRR, March, 2026

2025

Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks.

Giulio Pelosio, Devesh Batra, Noémie Bovey, Robert Hankache, Cristovao Iglesias, Greig A. Cowan, Raad Khraishi

CoRR, July, 2025

Evaluating the Sensitivity of LLMs to Prior Context.

Robert Hankache, Kingsley Nketia Acheampong, Liang Song, Marek Brynda, Raad Khraishi, Greig A. Cowan

CoRR, June, 2025

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin".

Raad Khraishi, Cristovao Iglesias, Devesh Batra, Peter Gostev, Giulio Pelosio, Ramin Okhrati, Greig A. Cowan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

How Personality Traits Shape LLM Risk-Taking Behaviour.

John Hartley, Conor Brian Hamill, Dale Seddon, Devesh Batra, Ramin Okhrati, Raad Khraishi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023

Agent-based Modelling of Credit Card Promotions.

Conor B. Hamill, Raad Khraishi, Simona Gherghel, Jerrard Lawrence, Salvatore Mercuri, Ramin Okhrati, Greig A. Cowan

CoRR, 2023

Conformal Predictions for Longitudinal Data.

Devesh Batra, Salvatore Mercuri, Raad Khraishi

CoRR, 2023

Simple Noisy Environment Augmentation for Reinforcement Learning.

Raad Khraishi, Ramin Okhrati

CoRR, 2023

Modelling customer lifetime-value in the retail banking industry.

Greig A. Cowan, Salvatore Mercuri, Raad Khraishi

CoRR, 2023

2022

An Introduction to Machine Unlearning.

Salvatore Mercuri, Raad Khraishi, Ramin Okhrati, Devesh Batra, Conor Hamill, Taha Ghasempour, Andrew Nowlan

CoRR, 2022

Eigenvector-based Graph Neural Network Embeddings and Trust Rating Prediction in Bitcoin Networks.

Pin Ni, Qiao Yuan, Raad Khraishi, Ramin Okhrati, Aldo Lipani, Francesca Medda

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Offline Deep Reinforcement Learning for Dynamic Pricing of Consumer Credit.

Raad Khraishi, Ramin Okhrati

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022