Papers by Guy Laban

2 papers
SPASM: Stable Persona-driven Agent Simulation for Multi-turn Dialogue Generation (2026.findings-acl)

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Challenge: Large language models are increasingly deployed in multi-turn settings such as tutoring, support, and counseling where reliability depends on preserving consistent roles, personas, and goals across long horizons.
Approach: They propose a framework that decomposes LLM–LLM conversations into a modular, stability-first framework that allows for a stable persona-driven agent simulation for multi-turn dialogue generation.
Outcome: The proposed framework decomposes the LLM-based model into four main components: persona creation, plausibility validation, and natural-language persona crafting.
DialogGuard: Multi-Agent Psychosocial Safety Evaluation Interface of Sensitive LLM Responses (2026.acl-demo)

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Challenge: Existing tools do not surface subtler psychosocial harms, nor provide explainable rationales that practitioners need.
Approach: They propose an open-source system that lets practitioners inspect, stress-test, and create audit trails for prompted LLM agents across five psychosocial safety dimensions.
Outcome: The open-source DialogGuard system lets practitioners inspect, stress-test, and create audit trails for prompted LLM agents across five psychosocial safety dimensions.

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