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cs.AI2026
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…
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…