Publications

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* denotes equal contribution.

2026

In-Context Learning Can Help Vision-Language Models Overcome Training Priors

Kun Wang, Xindi Wu, Sanghyuk Chun, Olga Russakovsky, Esin Tureci

Conference on Neural Information Processing Systems (NeurIPS), 2026.

[arXiv][code]

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang, Qixin Xu, Xinghan Li, Xinyang Han, Yicheng Zhang, Huaqing Zhang, Runhan Huang, Kaicheng Yang, Zitao Chen, Wentao Guo, Junlin Yang, Xinyue Ai, Wenhao Chai, Yadi Cao, Ziran Yang, Kun Wang, Dapeng Jiang, Huan-ang Gao, Shange Tang, Chengshuai Shi, Simon S. Du, Max Simchowitz, Jiantao Jiao, Dawn Song, Chi Jin

Conference on Neural Information Processing Systems (NeurIPS), 2026. Datasets & Benchmarks Track (Oral)

[arXiv][code][website]

InteriorAgent: LLM Agent for Interior Design-Aware 3D Layout Generation

Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker

International Conference on 3D Vision (3DV), 2026.

2025

Discovering Latent Causal Graphs from Spatio-Temporal Data

Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu

International Conference on Machine Learning (ICML), 2025. Oral at NeurIPS 2024 CRL Workshop

[arXiv]