Papers by Raad Khraishi

2 papers
Hierarchical Reason-of-Contact Detection in Retail Banking Customer Interactions via LLM-Driven Taxonomy Induction (2026.acl-industry)

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Challenge: Existing approaches to define customer intents or contact reasons are fragmented and manual . existing systems fail to capture the linguistic diversity of thousands of daily callers .
Approach: They propose a framework that develops a hierarchical Reason-of-Contact taxonomy . it covers hundreds of business processes and can be deployed in real time .
Outcome: The proposed framework achieves 10% improvement in F1 score over baseline approaches on a reference dataset.
How Personality Traits Shape LLM Risk-Taking Behaviour (2025.findings-acl)

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Challenge: Large language models are increasingly used as autonomous agents for simulation and decision-making.
Approach: They apply Cumulative Prospect Theory and the Big Five personality framework to investigate the relationship between LLMs’ personality traits and risk-propensity.
Outcome: The proposed models show that they are risk-neutral rational agents, whereas others show lower neuroticism and higher conscientiousness and Agreeability traits.

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