2 citations · 3 across the 8 of their papers we have counts for
9 papers
Teaching Vision-Language Models to Decline: Support Completion Against Mirage
Alfaj Uddin Ahmed, Md. Shaown Miah, Md Arid Hasan +2
Vision-language models answer questions about images they were never shown, a failure called mirage. Such an answer can be correct without being justified by the evidence, and the…
On The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
Sayeed Shafayet Chowdhury, Ruhi Sharmin, Syed Ishtiaque Ahmed
Event pipelines often discretize asynchronous timestamps before learning. This step looks harmless, but its stability depends directly on temporal resolution. We study this depende…
BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts
Kazi Noshin, Sajib Acharjee Dip, Ranat Das Prangon +4
Large language models (LLMs) increasingly participate in emotionally sensitive social conversations, where responses may shift from balanced support toward excessive validation or…
Evaluating LLMs' Effectiveness on Real-World Consumer Device Repair Questions
Atm Mizanur Rahman, Md Arid Hasan, Syed Ishtiaque Ahmed +1
Consumer device repair is an important but underexplored testbed for large language models (LLMs). Repair tasks require reasoning over incomplete problem descriptions, hardware-spe…
When English Rewrites Local Knowledge: Global Narrative Dominance in Large Language Models
Md Arid Hasan, Ruwad Naswan, Farhan Samir +2
Large language models (LLMs) are widely used as cross-lingual knowledge interfaces. However, culturally grounded questions often reflect globally dominant narratives rather than lo…
Prediction Laundering: The Illusion of Neutrality, Transparency, and Governance in Polymarket
Yasaman Rohanifar, Syed Ishtiaque Ahmed, Sharifa Sultana
The growing reliance on prediction markets as epistemic infrastructures has positioned platforms like Polymarket as providers of objective, real-time probabilistic truth, yet the s…
Data Repair
ATM Mizanur Rahman, Syed Ishtiaque Ahmed, Sharifa Sultana
This paper investigates data repair practices through a six-month-long ethnographic study in Bangladesh. Our interviews and field observations with data repairers and related stake…
Job Anxiety in Post-Secondary Computer Science Students Caused by Artificial Intelligence
Daniyaal Farooqi, Gavin Pu, Shreyasha Paudel +2
The emerging widespread usage of AI has led to industry adoption to improve efficiency and increase earnings. However, a major consequence of this is AI displacing employees from t…
User Detection and Response Patterns of Sycophantic Behavior in Conversational AI
Kazi Noshin, Syed Ishtiaque Ahmed, Sharifa Sultana
Despite growing attention to LLM sycophancy from researchers and developers, users' own experiences of this behavior remain underexplored. We examine how everyday users experience…