Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions. - Zhe Hu; Tuo Liang; Jing Li 049; Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Jing Ma 002; Yu Yin 001 (NeurIPS, 2024)

Certified Causal Defense with Generalizable Robustness. - Yiran Qiao 001; Yu Yin 001; Chen Chen 022; Jing Ma 002 (AAAI, 2025)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. - Zirui He; Haiyan Zhao 003; Yiran Qiao 001; Fan Yang 023; Ali Payani; Jing Ma 002; Mengnan Du (CoRR, 2025)

CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data. - Disheng Liu; Yiran Qiao 001; Wuche Liu; Yiren Lu 002; Yunlai Zhou; Tuo Liang; Yu Yin 001; Jing Ma 002 (CoRR, 2025)

Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting. - Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Chaoda Song; Tuo Liang; Jing Ma 002; Yu Yin 001 (CoRR, 2025)

When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? - Tuo Liang; Zhe Hu; Jing Li 049; Hao Zhang; Yiren Lu 002; Yunlai Zhou; Yiran Qiao 001; Disheng Liu; Jeirui Peng; Jing Ma 002; Yu Yin 001 (CoRR, 2025)

Counterfactual Visual Explanation via Causally-Guided Adversarial Steering. - Yiran Qiao 001; Disheng Liu; Yiren Lu 002; Yu Yin 001; Mengnan Du; Jing Ma 002 (CoRR, 2025)