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Research

Where evaluations break, and what survives

Accepted papers, manuscripts, reports and earlier peer-reviewed work in AI safety, interpretability and healthcare.

AcceptedNeurIPS 2026 Trust-AI-Eval (TAE) workshop

Unreliability or Disagreement? What an Interpercentile Decomposition Can and Cannot Show

Single author. Accepted as a poster (non-archival), to be presented Dec 2026

What an interpercentile decomposition of multi-turn evaluation results can and cannot separate, tested on conversations generated across seven models.

ManuscriptManuscript

Two Measurement Artifacts, an Unenforced Null, and What Survives in a Sparse-Autoencoder Feature-Universality Analysis

Iliad Research Intensive, 2026

A reliability audit of my own test of natural-latent theory on sparse-autoencoder features. Two innocuous estimator choices move the same data between three different headlines, and a pre-registered null that the analysis first failed to enforce removes the rest. Within-model redundancy is not a proxy for cross-model decoder geometry. Per-feature arrays and a CPU recompute script are released.

Papers and reports

Everything else

Preprint2026

Fine-Tuning Format Quality Changes the Failure Mode, and MMLU Misses All of It

Pavan Kumar Dubasi - Preprint

Fine-tuning Qwen 2.5 7B Instruct with QLoRA on five content conditions shows that the format of the fine-tuning data, not only its content, changes how the model fails, while MMLU accuracy stays flat across every condition. Behavioural scoring is done by LLM judges.

ManuscriptSole author. Funded by a BlueDot rapid grant

Political Fine-Tuning Triggers Behavioral Collapse in a 7B Model

Pavan Kumar Dubasi - BlueDot Impact Technical AI Safety Project Sprint, Group 07

Sole-author BlueDot sprint study of which fine-tuning domain drives behavioural drift in 7B-scale models, scored by LLM judges. A 2026 replication adds a valence-matched control.

ReportHackathon report, March 2026

Does structured identity context improve LLM-based monitoring? It depends on calibration

Pavan Kumar Dubasi - AI Control Hackathon 2026 (Apart Research + Redwood Research)

A ControlArena setting (identity_delegation) testing whether a trusted monitor detects within-scope attacks better when given identity and delegation-chain context rather than actions alone. Team lead.

ReportIEEE conference format, Feb 2026. Available on request

Verifiable Identity and Audit Infrastructure for DNA Synthesis Compliance

Pavan Kumar Dubasi - BlueDot Impact Biosecurity Programme 2026

Proposes a verifiable identity and audit infrastructure for DNA synthesis compliance using W3C decentralized identifiers and verifiable credentials. Includes independent deployment and testing of the NAO metagenomic surveillance pipeline, with an upstream bug documented.

ReportTechnical report, Feb 2026. Available on request

NAO Metagenomic Surveillance Pipeline Audit

Pavan Kumar Dubasi - BlueDot Impact Biosecurity Programme 2026

Independent deployment and comprehensive audit of the Nucleic Acid Observatory metagenomic surveillance pipeline. Documented an upstream bug affecting sequencing data processing and documented full reproducibility steps for the bioinformatics workflow.

Accepted (proceedings pending)19-21 March 2025, Amity University Uttar Pradesh, Greater Noida, India

Federated Learning for Privacy Preserving Collaboration in Healthcare

Pavan Kumar Dubasi, et al. - 2025 International Conference on Communication, Computer Sciences and Engineering (IC3SE-2025)

This paper presents a novel federated learning approach for healthcare data collaboration that preserves patient privacy while enabling effective model training across multiple healthcare institutions.

Report2026

Open-source contributions to UK AISI Inspect

Pavan Kumar Dubasi - inspect_evals and inspect_ai (UK AI Security Institute)

Two pull requests merged into inspect_evals, including a GPQA Diamond answer-shuffle fix, and three accepted inspect_ai bug reports.

PublishedDate of Conference 09-11 May 2024, Date Added to IEEE Xplore 23 July 2024

Artistic Style Transfer using Generative Adversarial Networks: A Pix2Pix Implementation

Pavan Kumar Dubasi, Bhadula, S., et al. - 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)

We propose an enhanced Pix2Pix GAN architecture for artistic style transfer that achieves superior results in preserving structural integrity while transferring complex artistic styles.

PublishedISSN: 2455-6211, Vol. 11, Issue 7, July 2023, pp. 2455-2467

A Study on Facial Feature Extraction and Emotional Analysis Using ML

Adhyaru, K., Ishan, Harshitha, D., Mundlur, R.P., Dubasi Pavan Kumar, et al. - International Journal of All Research Education and Scientific Methods (IJARESM)

This research presents a comprehensive approach to facial feature extraction and emotion recognition using machine learning techniques, achieving high accuracy in real-world scenarios.

Master's thesis

Enhancing Healthcare Insurance Fraud Detection and Prevention with a Machine Learning and Blockchain-Based Approach

Supervisor
Dr. Rajesh Kumar Sinha, Assistant Professor
Institution
National Institute of Technology Patna
Department
Department of Mathematics
Period
January - June, 2024

This research proposes a healthcare insurance fraud detection system combining an Optuna-tuned weighted ensemble of five gradient-boosted classifiers (F1 = 0.7345, leakage-free 10-fold CV) with a SHA-256 blockchain audit trail and ECIES encryption. The system aggregates 558,211 Medicare claims into 5,410 provider-level records with 190 engineered features. SHAP and LIME provide dual explainability for fraud risk assessments.

Intellectual property

Registered design and patent application

Registered design

AI-Enabled Robotic Device for Business Automation

Kousar, H., Pavan Kumar Dubasi, Mohammed, S.A., et al.

UK Design Registration No. 6335588, Grant Date: 10 January 2024

Patent application (published)

Emotion Recognition and Analysis System for Mental Health Assessment

Navaneethakrishan, S.R., Chinta, S., Pavan Kumar Dubasi, et al.

Application No. 202321054346A. The Patent Office Journal, 29/09/2023, No. 39/2023

Community

Professional memberships

  • Association for the Advancement of Artificial Intelligence (AAAI)

    ID: 650314

    2025 - Present

  • Association for Computing Machinery (ACM)

    ID: 8485149

    Aug 2024 - Present

  • American Mathematical Society (AMS)

    ID: PVDBXA

    Aug 2024 - Present

  • International Association of Engineers (IAENG)

    ID: 383517

    Aug 2024 - Present

  • Institute of Electrical and Electronics Engineers (IEEE)

    ID: 98915358

    Jan 2024 - Present

  • International Society for Computational Biology (ISCB)

    ID: 45957

    2025 - Present