| How well do unsupervised learning algorithms model human real-time and life-long learning? C Zhuang*, V Xiang*, Y Bai, X Jia, N Turk-Browne, K Norman, JJ DiCarlo, ... Advances in neural information processing systems 35, 22628-22642, 2022 | 21 | 2022 |
| Learning the generative principles of a symbol system from limited examples L Yuan, V Xiang, D Crandall, L Smith Cognition 200, 104243, 2020 | 21 | 2020 |
| Defending against microphone-based attacks with personalized noise Y Liu, Z Xiang, EJ Seong, A Kapadia, DS Williamson Proceedings on Privacy Enhancing Technologies, 2021 | 12 | 2021 |
| The BabyView camera: designing a new head-mounted camera to capture children’s early social and visual environments B Long, S Goodin, G Kachergis, VA Marchman, SF Radwan, RZ Sparks, ... Behavior Research Methods 56 (4), 3523-3534, 2024 | 10 | 2024 |
| Hypothetical minds: Scaffolding theory of mind for multi-agent tasks with large language models L Cross, V Xiang, A Bhatia, DLK Yamins, N Haber arXiv preprint arXiv:2407.07086, 2024 | 5 | 2024 |
| Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought V Xiang, C Snell, K Gandhi, A Albalak, A Singh, C Blagden, D Phung, ... arXiv preprint arXiv:2501.04682, 2025 | 3 | 2025 |
| The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences B Long*, V Xiang*, S Stojanov*, RZ Sparks, Z Yin, GE Keene, AWM Tan, ... arXiv preprint arXiv:2406.10447, 2024 | 3 | 2024 |
| Animate Agent World Modeling Benchmark LM Cross, V Xiang, N Haber, D Yamins Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
| From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning V Xiang, L Cross, JP Fränken, N Haber NeurIPS 2024 Workshop on Agent Learning in Open-Endedness (ALOE), 2023 | | 2023 |