Abdul Monaf Chowdhury — accepted AI-conference papers

2026

LAGEA: Language Guided Embodied Agents for Robotic Manipulation

Abdul Monaf Chowdhury, Akm Moshiur Rahman Mazumder, Safaeid Arib, Rabeya Akter

ICML 2026poster

Robotic manipulation benefits from foundation models that describe goals, but today's agents still lack a principled way to learn from their own mistakes. We ask whether natural language can serve as feedback, an error-reasoning signal that helps embodied agents diagnose what went wrong and correct …

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2026

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion

Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib

AAAI 2026technical

Multivariate time series forecasting (MTSF) seeks to model temporal dynamics among variables to predict future trends. Transformer-based models and large language models (LLMs) have shown promise due to their ability to capture long-range dependencies and patterns. However, current methods often rel

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