3 papers
cs.DB2026
CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs
Zihan Nan, Yang Gu, Wei Liu +4
Tabular data processing is central to data work, and LLM-based assistants have recently shown promising capabilities in supporting such tasks. However, existing benchmarks primaril…
cs.AI2026
ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows
Wei Liu, Yang Gu, Xi Yan +5
Table processing-including cleaning, transformation, augmentation, and matching-is a foundational yet error-prone stage in real-world data pipelines. While recent LLM-based approac…
cs.LG2025
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma +6
Sequential Recommenders, which exploit dynamic user intents through interaction sequences, is vulnerable to adversarial attacks. While existing attacks primarily rely on data poiso…