37 citations · 72 across the 18 of their papers we have counts for
4 papers · 1 filter
When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
Binesh Sadanandan, Vahid Behzadan
Large Language Models (LLMs) are increasingly deployed in medical settings, yet their sensitivity to prompt formatting remains poorly characterized. We evaluate MedGemma (4B and 27…
Cognitive Overload Attack:Prompt Injection for Long Context
Bibek Upadhayay, Vahid Behzadan, Amin Karbasi
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing tasks across various domains without needing explicit retraining. This capability, known as In-…
TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
Bibek Upadhayay, Vahid Behzadan
Creating multilingual LLMs poses a significant challenge. Pretraining or fine-tuning LLMs to adopt new languages is evidently very costly. Furthermore, there exist limitations conc…
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
Bibek Upadhayay, Vahid Behzadan
The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history. However,…