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From the 1 of 8 linked papers with an AI index.

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20242026
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8 papers

cs.CV2026

SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs

Parsa Hosseini, Sumit Nawathe, Mazda Moayeri +2

The paper introduces SpurLens, an automated pipeline that uses GPT-4 and open-set object detectors to find spurious visual cues in multimodal large language models, showing that th…

cs.CL2026

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception

Yize Cheng, Arshia Soltani Moakhar, Chenrui Fan +5

Large language model (LLM) agents are increasingly used to interact with and execute tasks in dynamic environments. However, a critical yet overlooked limitation of these agents is…

cs.CL2026

Early Stopping for Large Reasoning Models via Confidence Dynamics

Parsa Hosseini, Sumit Nawathe, Mahdi Salmani +2

Large reasoning models rely on long chain-of-thought generation to solve complex problems, but extended reasoning often incurs substantial computational cost and can even degrade p…

cs.CV2026

GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs

Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh +4

Object hallucination in Multimodal Large Language Models (MLLMs) is a persistent failure mode that causes the model to perceive objects absent in the image. This weakness of MLLMs…

cs.AI2025

Tool Preferences in Agentic LLMs are Unreliable

Kazem Faghih, Wenxiao Wang, Yize Cheng +5

Large language models (LLMs) can now access a wide range of external tools, thanks to the Model Context Protocol (MCP). This greatly expands their abilities as various agents. Howe…

cs.AI2025

Clinical Semantic Intelligence (CSI): Emulating the Cognitive Framework of the Expert Clinician for Comprehensive Oral Disease Diagnosis

Mohammad Mashayekhi, Sara Ahmadi Majd, Arian AmirAmjadi +1

The diagnosis of oral diseases presents a problematic clinical challenge, characterized by a wide spectrum of pathologies with overlapping symptomatology. To address this, we devel…