2 citations · 3 across the 8 of their papers we have counts for
8 papers
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…