works on

From the 1 of 11 linked papers with an AI index.

collaborators

10 papers

cs.AI2026

Towards Robust Reinforcement Learning for Small-Scale Language Model Agents

Md Rezwanul Haque, Md. Milon Islam, Fakhri Karray

The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often considered unstable, though the underlying failure mechanisms ha…

cs.CL2026

StanceMoE: Mixture-of-Experts Architecture for Stance Detection

Abdullah Al Shafi, Md. Milon Islam, Sk. Imran Hossain +1

The paper introduces StanceMoE, a Mixture-of-Experts model built on BERT that dynamically combines specialized expert modules to improve actor-level stance detection in text.

cs.CL2026

PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection

Md. Shakhoyat Rahman Shujon, MD Jahid Hasan Jim, Md. Milon Islam +2

We introduce PAST-TIDE, our stance detection system addressing both subtasks of the StanceNakba Shared Task at NakbaNLP@LREC-COLING 2026. The main idea is statement tuning. We rede…

cs.CV2026

CAST: Channel-Aware Spatial Transfer Learning with Pseudo-Image Radar for Sign Language Recognition

Md. Shakhoyat Rahman Shujon, Sheikh Md. Galib Mahim, Md. Milon Islam +4

We propose CAST, a dual-stream architecture that utilizes channel-aware spatial transfer learning for isolated sign language recognition addressing the challenges of magnitude-only…

cs.CV2025

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition

Md Rezwanul Haque, Md. Milon Islam, S M Taslim Uddin Raju +1

Continuous Sign Language Recognition (CSLR) faces multiple challenges, including significant inter-signer variability and poor generalization to novel sentence structures. Traditio…

cs.CV2025

FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition

Md. Milon Islam, Md Rezwanul Haque, S M Taslim Uddin Raju +1

Accurate recognition of sign language in healthcare communication poses a significant challenge, requiring frameworks that can accurately interpret complex multimodal gestures. To…