model evaluation 1multimodal language models 1prompt engineering 1spurious correlations 1visual bias 1
From the 1 of 3 linked papers with an AI index.
3 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
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…
q-fin.PM2024
Multimodal Deep Reinforcement Learning for Portfolio Optimization
Sumit Nawathe, Ravi Panguluri, James Zhang +1
We propose a reinforcement learning (RL) framework that leverages multimodal data including historical stock prices, sentiment analysis, and topic embeddings from news articles, to…