collaborators

6 papers

cs.CL2026

Debias It Yourself: Teaching LLMs Cognitive Bias Mitigation Interventions

Chahat Raj, Sina Mansouri, Aylin Caliskan +2

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…

cs.CV2026

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

Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Sina Mansouri +3

Large vision-language models (VLMs) can judge visual similarity, but their judgments are not directly available as compact image embeddings for efficient comparison. We study how t…

cs.CV2026

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

Mehrdad Fazli, Sina Mansouri, Mohit Marvania +1

Recent inference-time hallucination mitigation methods for large vision-language models (LVLMs) report strong gains on hallucination benchmarks. However, it remains unclear whether…

cs.CL2026

Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text

Sina Mansouri, Mohit Marvania, Abolfazl Safikhani

The widespread adoption of large language models (LLMs) has intensified the demand for principled methods to distinguish human from machine-generated text. Watermarking provides a…

cs.AI2026

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

Sina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar +5

Medical large language models are typically evaluated on idealized patient cases that do not reflect how real patients communicate. We introduce VeriSim, a patient simulation frame…

cs.RO2025

Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications

Taha Samavati, Mohsen Soryani, Sina Mansouri

The global demand for medicinal plants, such as Damask roses, has surged with population growth, yet labor-intensive harvesting remains a bottleneck for scalability. To address thi…