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cs.AI2026
Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection
Jinhan Li, Kexian Tang, Yihan Xu +2
To achieve deeper safety alignment for large language models (LLMs), recent efforts have studied how to push safety interventions earlier into the pretraining stage, primarily by f…
cs.AI2026
The Power of Power Law: Asymmetry Enables Compositional Reasoning
Zixuan Wang, Xingyu Dang, Jason D. Lee +1
Natural language data follows a power-law distribution, with most knowledge and skills appearing at very low frequency. While a common intuition suggests that reweighting or curati…
cs.AI2025
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?
Kexian Tang, Junyao Gao, Yanhong Zeng +6
Many real-world applications of spatial intelligence, such as robotic control, autonomous driving, and automated assembly, require spatial reasoning across multiple sequential step…