2 papers
cs.CL2026
Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection
Zhen Yang, Mengqi Wang, Gengda Zhao +3
Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain copyrighted or privacy-sensitive content. Data contamination detection (DCD) th…
cs.AI2026
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
Rongjie Jiang, Jianwei Wang, Gengda Zhao +3
Recent advances in large language models have driven the emergence of intelligent agents operating in open-world, multimodal environments. To support long-term reasoning, such agen…