MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
arXiv:2603.09827v2 Announce Type: replace-cross Abstract: As embodied models become powerful, humans will collaborate with multiple embodied AI agents at their…
EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolution
arXiv:2603.10697v1 Announce Type: cross Abstract: Neural text-to-SQL models, which translate natural language questions (NLQs) into SQL queries given a database…
RandMark: On Random Watermarking of Visual Foundation Models
arXiv:2603.10695v1 Announce Type: cross Abstract: Being trained on large and diverse datasets, visual foundation models (VFMs) can be fine-tuned to…
AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
arXiv:2603.09689v2 Announce Type: replace-cross Abstract: Visual Question Answering (VQA) is a fundamental multimodal task that requires models to jointly understand…
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
arXiv:2511.00097v2 Announce Type: replace-cross Abstract: Graph incremental learning (GIL), which continuously updates graph models by sequential knowledge acquisition, has garnered…
A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
arXiv:2603.09789v1 Announce Type: cross Abstract: Accurate forecasting of financial market volatility is crucial for risk management, option pricing, and portfolio…