2 papers
cs.LG2026
To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending
Jin Gan, Xin Li, Jun Luo
The wide deployment of LLMs has made model alignment necessary to make newly trained models safely and effectively respond to user instructions. Among different methods, inference-…
cs.AI2025
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
Sen Yang, Xin Li, Leyang Cui +2
Two lines of approaches are adopted for complex reasoning with LLMs. One line of work prompts LLMs with various reasoning structures, while the structural outputs can be naturally…