3 papers
cs.AI2026
Divergence-Routed On-Policy Distillation for Language Models
Tiantian Peng, Guannan Lv, Hongyang Li +5
On-policy distillation (OPD) transfers knowledge from a teacher model to a student along student-generated trajectories, typically by minimizing the reverse Kullback-Leibler (RKL)…
cs.CV2026
ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning
Guannan Lv, Ren Nie, Hongjian Dou +1
Multimodal Large Language Models (MLLMs) have increasingly localized and interleaved visual evidence for deliberative reasoning. Grounding-based approaches typically focus on regio…
cs.AI2026
DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage
Haowen Gao, Zhenyu Zhang, Liang Pang +7
Reinforcement learning (RL) with group relative policy optimization (GRPO) has become a widely adopted approach for enhancing the reasoning capabilities of multimodal large languag…