2 papers
cs.CL2026
Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text
Tianyang Zhou, Wenbo Chen, Pierre Jinghong Liang +1
LLMs have advanced text classification, yet existing paradigms face a trade-off: supervised (label only) fine-tuning is scalable but offers limited reasoning on complex text and la…
cs.LG2023
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang +1
Given a complex graph database of node- and edge-attributed multi-graphs as well as associated metadata for each graph, how can we spot the anomalous instances? Many real-world pro…