4 citations · 5 across the 7 of their papers we have counts for
7 papers
TRIAGE: Evaluating Prospective Metacognitive Control in LLMs under Resource Constraints
Zabir Al Nazi, Shubhashis Roy Dipta
Deploying language models as autonomous agents requires more than per-task accuracy: when an agent faces a queue of problems under a finite token budget, it must decide which to at…
Omni-Modal Dissonance Benchmark: Systematically Breaking Modality Consensus to Probe Robustness and Calibrated Abstention
Zabir Al Nazi, Shubhashis Roy Dipta, Md Rizwan Parvez
Existing omni-modal benchmarks attempt to measure modality-specific contributions, but their measurements are confounded: naturally co-occurring modalities carry correlated yet une…
PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of Visibility
G M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan +1
Vision Language Models (VLMs) are increasingly integrated into privacy-critical domains, yet existing evaluations of personally identifiable information (PII) leakage largely treat…
Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?
Zabir Al Nazi, GM Shahariar, Md. Abrar Hossain +1
Theory of Mind (ToM) - the ability to attribute beliefs and intents to others - is fundamental for social intelligence, yet Vision-Language Model (VLM) evaluations remain largely W…
DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar
Chain-of-Thought (CoT) prompting is widely adopted for mathematical problem solving, including in low-resource languages, yet its behavior under irrelevant context remains underexp…
Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla
Zabir Al Nazi, Sayed Mohammed Tasmimul Huda
Speech synthesis is one of the challenging tasks to automate by deep learning, also being a low-resource language there are very few attempts at Bangla speech synthesis. Most of th…