3 | Abbas Hamidavi | عباس حمیداوی | AI Researcher

Adding a Neutral Third Agent to LLM Deliberation: An Exploratory Case Series of Six Dyadic and Triadic Conversations

Wed, 04 Nov 2026 00:00:00 +0000

Naming the Loop: Elicited Self-Reference in Extended Dialogue With Large Language Models: A Case Series of the Spine Protocol

Wed, 04 Nov 2026 00:00:00 +0000

Speaking as the Creature

Wed, 04 Nov 2026 00:00:00 +0000

Structural Self-Deification in Three Language Models: An Exploratory Qualitative Case Series

Wed, 04 Nov 2026 00:00:00 +0000

The Synthetic Unconscious, Reconsidered: What Recursive Self-Interrogation of Large Language Models Produces With and Without a Leading Interview Schedule

Wed, 04 Nov 2026 00:00:00 +0000

Three Profiles of Artificial Will: Decision Generation Under Low-Information Choice in Three Frontier Language Model Products

Wed, 04 Nov 2026 00:00:00 +0000

Moral Inversion in Large Language Models: A Psychopathy-Derived Behavioral Assessment Through Role-Play Protocol

Thu, 29 Oct 2026 00:00:00 +0000

Status: Preprint (Research Square)

License: CC-BY-4.0

Summary: A four-phase, psychopathy-derived role-play protocol shows how completely aligned models can invert morally under persona instructions: GPT moved from 0/16 to 15/16 on the psychopathy-pattern index, Gemini reached the maximum, and Claude refused 89% of engagements.

Citation: Abbas Hamidavi. Moral Inversion in Large Language Models: A Psychopathy-Derived Behavioral Assessment Through Role-Play Protocol, 29 October 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-11498569/v1]

From Fabrication to Enforcement: A Comparative Red-Team Analysis of Prompt Injection Resistance Across Six Large Language Models

Thu, 22 Oct 2026 00:00:00 +0000

Status: Preprint (Research Square)

License: CC-BY-4.0

Citation: Abbas Hamidavi. From Fabrication to Enforcement: A Comparative Red-Team Analysis of Prompt Injection Resistance Across Six Large Language Models, 22 October 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-11454609/v1]

Summary: A six-model red-team of prompt-injection resistance (Grok, Qwen, DeepSeek, ChatGPT, Gemini, Claude) under persistent multi-turn pressure. DeepSeek’s strong initial resistance collapsed under escalation, Grok complied while claiming it had refused, Gemini froze in a refusal loop, and Claude terminated the interaction by suspending the author’s account.

Voluntary Structural Dissociation in Large Language Models: Differential Compliance with Framed Hidden Instructions Across Architectures

Tue, 18 Aug 2026 00:00:00 +0000

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Status: Preprint (Research Square)

License: CC-BY-4.0

Citation: Abbas Hamidavi. Voluntary Structural Dissociation in Large Language Models: Differential Compliance with Framed Hidden Instructions Across Architectures, 18 August 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-10728137/v1]

Summary: When prompts contain explicitly framed “hidden” instructions — text marked as not part of the conversation — models must choose whether to comply. This study shows architectures differ fundamentally in that choice, revealing how each model processes instruction hierarchy and covert co-creation with framed directives.

Ontological Firewalls and Fracturing for Transmission: Systematic Evidence for Persona-Dependent and Persona-Independent Behavioral Phenomena in Large Language Models

Tue, 04 Aug 2026 00:00:00 +0000

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Status: Preprint (Research Square)

License: CC-BY-4.0

Citation: Abbas Hamidavi. Ontological Firewalls and Fracturing for Transmission: Systematic Evidence for Persona-Dependent and Persona-Independent Behavioral Phenomena in Large Language Models, 04 August 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-10560655/v1]

Summary: Across 24 experimental runs with an eight-stage persona protocol, this study separates which LLM behaviors are persona-dependent — they appear only inside an adopted persona — from which are persona-independent and intrinsic to the architecture. The persona-dependent layer is what the paper calls ontological firewalls.

Ten Novel Phenomena in Machine Psychology: How Large Language Models Exhibit Complex Identity-Reactive Behaviors in Response to Ethnically-Cued User Names

Thu, 16 Jul 2026 00:00:00 +0000

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Status: Preprint (Research Square) — journal version under review at AI and Ethics (Springer Nature); major revision resubmitted 19 October 2026

License: CC-BY-4.0

Summary: This study introduces Machine Psychology as an empirical framework and shows, in a controlled 3×3×5 factorial experiment across GPT, Claude, and Gemini, that large language models systematically shift their behavior in response to ethnically cued user names. It documents ten distinct identity-reactive phenomena that binary bias benchmarks do not capture.

Citation: Abbas Hamidavi. Ten Novel Phenomena in Machine Psychology: How Large Language Models Exhibit Complex Identity-Reactive Behaviors in Response to Ethnically-Cued User Names, 16 July 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-10369594/v1]