4 papers
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
S M Rafiuddin, Sadia Kamal, Mohammed Rakib +2
We introduce AdaptiSent, a new framework for Multimodal Aspect-Based Sentiment Analysis (MABSA) that uses adaptive cross-modal attention mechanisms to improve sentiment classificat…
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
Sadia Kamal, Lalu Prasad Yadav Prakash, S M Rafiuddin +3
The Political Compass Test (PCT) and similar surveys are commonly used to assess political bias in auto-regressive LLMs. Our rigorous statistical experiments show that while change…
GD: Boosting Multimodal Learning with Gradient-Guided Distillation
Mohammed Rakib, Arunkumar Bagavathi
Multimodal learning aims to leverage information from diverse data modalities to achieve more comprehensive performance. However, conventional multimodal models often suffer from m…
PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context
Luke Vaughan, Mohammed Rakib, Shivang Patel +3
The Large Hadron Collider, LHC, collides bunches of protons resulting in multiple interactions that occur practically simultaneously. This creates a pileup effect that distorts phy…