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Sina Mansouri

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#natural language process... Preprint Sep 2026

Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions

Bias has long been studied in social psychology and cognitive science, where decades of research have produced a body of validated interventions that reduce stereotypical thinking and prejudiced responses in humans. We propose Debias It Yourself (DIY), a cognitively grounded framework that translates five such interven...

Chahat Raj, Sina Mansouri, Aylin Caliskan et al. · 0 citations
#machine learning Preprint Sep 2026

Kernel-Based Steering of CLIP with Vision-Language Model Preferences

ASK, a kernel-based steering method that learns from elicited pairwise judgments without accessing teacher embeddings or collecting new human similarity annotations, is introduced, a kernel-based steering method that learns from elicited pairwise judgments without accessing teacher embeddings or collecting new human si...

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Sina Mansouri et al. · 0 citations
#artificial intelligence Preprint Apr 2026

VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise

VeriSim is introduced, a patient simulation framework that injects controllable noise along six clinically grounded communication dimensions while substantially preserving each patient's medical record and is released as an open-source framework for rigorous stress-testing of clinical AI.

Sina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar et al. · 0 citations
Preprint Sep 2026

Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods

It is argued that hallucination mitigation should be evaluated as a faithfulness--informativeness--capability trade-off rather than through hallucination scores alone, because improvements on hallucination benchmarks do not reliably transfer to broader multimodal capabilities.

Mehrdad Fazli, Sina Mansouri, Mohit Marvania et al. · 0 citations

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