7 citations · 7 across the 11 of their papers we have counts for
4 papers · 1 filter
When Does Task-Aware Imputation Matter? An Analysis of Robustness Under Train-Test Mismatch
Maria V. Salvador, Ana F. Sequeira, Jaime S. Cardoso
Missing data is a pervasive challenge in machine learning, often degrading predictive performance and complicating model deployment. Most existing approaches treat imputation as a…
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…
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…
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…