13 citations · 15 across the 13 of their papers we have counts for
7 papers · 1 filter
SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narratives
Tianyu Wang, Nianjun Zhou
Assessing the literary quality of narratives requires evaluating interpretive dimensions (cultural representation, emotional depth, and philosophical engagement) that existing NLG…
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules
Devin Yasith De Silva, Dhaval Patel, Christodoulos Constantinides +7
Monitoring complex industrial assets relies on engineer-authored symbolic rules that trigger based on sensor conditions and prompt technicians to perform corrective actions. The bo…
Results and Retrospective Analysis of the CODS 2025 AssetOpsBench Challenge
Dhaval Patel, Chathurangi Shyalika, Suryanarayana Reddy Yarrabothula +4
Competition retrospectives are useful when they explain what a leaderboard measured, how hidden evaluation changed conclusions, and which design patterns were rewarded. We revisit…
SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions
Tianyu Wang, Nianjun Zhou
Evaluating literary quality requires assessing interpretive dimensions such as cultural representation, emotional depth, and philosophical sophistication that resist straightforwar…
Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
Natalia Martinez Gil, Fearghal O'Donncha, Wesley M. Gifford +3
We propose a post-hoc adaptive conformal anomaly detection method for monitoring time series that leverages predictions from pre-trained foundation models without requiring additio…
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko +6
Large language model (LLM)-based systems are becoming increasingly popular for solving tasks by constructing executable workflows that interleave LLM calls, information retrieval,…
Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
Fearghal O'Donncha, Nianjun Zhou, Natalia Martinez +4
Industrial maintenance platforms contain rich but fragmented evidence, including free-text work orders, heterogeneous operational sensors or indicators, and structured failure know…