2 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection
Paramananda Bhaskar, Naquee Rizwan, Daksh Jogchand +2
Hateful meme detection remains a formidable challenge for vision-language models, as existing benchmarks are structurally observational - confounding rhetorical hate mechanisms wit…
Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users
Sai Keerthana Karnam, Abhirup Kundu, Jashn Arora +2
Social media serves as a primary source of information in the current digital era. Many people consume a vast range of information in a very short span, yet, amidst the stream of g…
PEST: Parameter Efficient Steering of Blackbox VLMs via Agentic Few-shot Alignment for Hateful Meme Moderation
Naquee Rizwan, Subhankar Swain, Paramananda Bhaskar +3
In this work, we examine hateful memes from three complementary angles - how to detect them, how to explain their content and how to intervene them before being posted - by applyin…