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cs.AI2026
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…
cs.AI2026
UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers
Elias Hossain, Shubhashis Roy Dipta, Subash Neupane +4
Neural NLP models are often miscalibrated and overconfident, assigning high confidence to incorrect predictions and failing to express uncertainty during internal evidence aggregat…
cs.AI2025
Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
Ningning Xu, Yuxuan Jiang, Shubhashis Roy Dipta +1
Tool-integrated reasoning (TIR) has become a key approach for improving large reasoning models (LRMs) on complex problems. Prior work has mainly studied when to invoke tools, while…