works on
large language models 2agentic systems 1episodic memory 1error diagnosis 1graph-based memory 1graph neural networks 1inference scaling 1temporal difference learning 1trajectory analysis 1

From the 2 of 17 linked papers with an AI index.

activity
20242026
most citedTimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

2 citations · 2 across the 3 of their papers we have counts for

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cs.AI2026

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems

Xu Zheng, Zhuomin Chen, Chaohao Lin +4

The paper introduces Trajectory Graph Copilot, a framework that builds probabilistic graphs of past agent trajectories and uses a graph neural network to flag potentially erroneous…

cs.AI2026

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs

Xu Zheng, Chaohao Lin, Zhuomin Chen +4

The paper introduces GAMER, a graph‑based action‑centric memory system that stores past reasoning as a dynamic graph and uses temporal‑difference learning to estimate action values…

cs.AI2025

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

Geon Lee, Wenchao Yu, Kijung Shin +2

Time series data is essential in various applications, including climate modeling, healthcare monitoring, and financial analytics. Understanding the contextual information associat…