~/papers

Papers, preprints, and research traces.

Publication list is curated; see Google Scholar for the full/current list.

2025 :: SSRN preprint :: SSRN

A Review of LLM Agent Applications in Finance and Banking

Devesh Batra, Conor Hamill, John Hartley, Ramin Okhrati, Dale Seddon, Harvey Miller, Raad Khraishi, Greig Cowan

A survey of LLM agent applications in finance and banking, organised around simulation, acting, analysis, and advising.

LLMsAgentsFinanceBanking

2025 :: Conference paper :: Findings of ACL 2025

How Personality Traits Shape LLM Risk-Taking Behaviour

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

Studies how LLM personality traits relate to risk propensity using Cumulative Prospect Theory and Big Five framing.

LLMsRiskBehaviourFinance

2025 :: arXiv preprint :: arXiv

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

Giulio Pelosio, Devesh Batra, Noemie Bovey, Robert Hankache, Cristovao Iglesias, Greig Cowan, Raad Khraishi

Evaluates latent nationality bias in LLMs when explicit demographic labels are replaced by culturally indicative names.

LLMsBiasEvaluationResponsible AI

2025 :: Workshop paper :: NeurIPS 2025 Workshop on Generative AI in Finance

Operationalising LLMs for Compliance-Critical Letter Writing in Financial Services

Devesh Batra, Alexandros Anatolakis, John Hartley, Jude King, Greig A Cowan, Raad Khraishi

A production-focused paper on LLM-assisted drafting for compliance-critical financial-services letters.

LLMsFinanceResponsible AIProduction AI

2023 :: arXiv preprint :: arXiv

Conformal Predictions for Longitudinal Data

Devesh Batra, Salvatore Mercuri, Raad Khraishi

Introduces Longitudinal Predictive Conformal Inference for finite-width prediction intervals with longitudinal and cross-sectional coverage goals.

Conformal PredictionUncertaintyTime SeriesFinance

2022 :: arXiv preprint :: arXiv

An Introduction to Machine Unlearning

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

A survey-style introduction to machine unlearning, covering definitions, algorithms, evaluation, and implementation challenges.

Machine UnlearningPrivacyResponsible AI

2022 :: DPhil thesis :: University of Oxford / Oxford University Research Archive

Interference effects from machine learning matched confusable object pairs in memory assessment tasks

Devesh Batra

Oxford DPhil thesis on machine-learning-matched confusable object pairs in memory assessment tasks for early detection of neurodegeneration.

Machine LearningHealthcareDigital BiomarkersComputer Vision