Author

T. A. Khan

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#artificial intelligence Preprint May 2026

Skip What You Can Predict: Predictive Repositioning for Policy Optimization for Efficient LLM Training

Predictive Repositioning for Policy Optimization is introduced, which uses two observed optimizer transitions to estimate a farther point along the same-batch optimization trajectory, moves partway toward that point, evaluates the original objective there, and applies a corrective update, giving PrePO a fixed active co...

I. N. Swapnil, Aranya Saha, Tasneea Zahra et al. · 0 citations

#natural language process... Preprint Sep 2026

Can LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh's July Uprising

Crisis sentiment analysis is especially challenging for low-resource languages such as Bangla, where language, context, and public reaction shift rapidly. We introduce UNRESTSENT200K, a Bangla crisis sentiment dataset with approximately 200K Facebook and YouTube comments from the July-August 2024 Bangladesh uprising. T...

Md. Samiul Alim, Mahir Shahriar Tamim, T. A. Khan et al. · 0 citations

#artificial intelligence Open access Aug 2026

CAT-GS: Balanced multimodal learning via calibrated gating and fusion surgery

This work proposes CAT-GS (Calibrated, Adaptive, Thresholded Gating with Fusion Surgery), a neural dynamics-based optimization controller for intelligent computing applications that improves or matches fused multimodal accuracy against strong imbalance-aware baselines across settings, and yields smoother gating behavio...

Mahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim et al. · Neurocomputing · 0 citations