2 papers
cs.CL2026
N2N-GQA: Noise-to-Narrative for Graph-Based Table-Text Question Answering Using LLMs
Mohamed Sharafath, Aravindh Annamalai, Ganesh Murugan +1
Multi-hop question answering over hybrid table-text data requires retrieving and reasoning across multiple evidence pieces from large corpora, but standard Retrieval-Augmented Gene…
cs.LG2025
THEMIS: Unlocking Pretrained Knowledge with Foundation Model Embeddings for Anomaly Detection in Time Series
Yadav Mahesh Lorik, Kaushik Sarveswaran, Nagaraj Sundaramahalingam +1
Time series anomaly detection forms a very crucial area in several domains but poses substantial challenges. Due to time series data possessing seasonality, trends, noise, and evol…