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cs.LG2026
T-SMART: Mechanism-Level Attribution for Tool-Augmented Time-Series Question Answering
Ivan Delgado, Himansi Gupta, Bishal Khatri +4
Large language models (LLMs) can struggle with time-series question answering (TS-QA), especially when numerical signals are serialized as text and require explicit computation. To…
cs.LG2026
LIMBO: Lifelong Inference-Time Memory and Budget Optimization for LLM Agents
Siddharth Sharma, Nilesh Prasad Pandey, Onat Gungor +1
As LLM agents become integrated into increasingly complex workflows, they must continually acquire new capabilities while retaining competence on previously learned tasks. Lifelong…
cs.LG2026
G-MARK: Grounded Multi-Agent Reasoning for Cooperative Driving via Knowledge Graphs
Bhavya Gupta, Onat Gungor, Tajana Rosing
Autonomous driving systems must operate under partial observability, where safety-critical objects may be occluded or visible only to neighboring connected vehicles. Vehicle-to-veh…