3 papers
cs.CV2026
Multi-Branch Policy Optimization for Multimodal Large Language Models
Shuai Lyu, Yuning Gong, Ruiling Gao +7
Group-based reinforcement learning methods for multimodal large language models typically rely on trajectory-level credit assignment that applies a single advantage to all tokens i…
cs.AI2025
CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product
Kaiwen Xue, Chenglong Li, Zhonghong Ou +10
Human-defined creativity is highly abstract, posing a challenge for multimodal large language models (MLLMs) to comprehend and assess creativity that aligns with human judgments. T…
cs.CV2025
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection
Guoxin Zhang, Ziying Song, Lin Liu +1
Multimodal 3D object detection has garnered considerable interest in autonomous driving. However, multimodal detectors suffer from dimension mismatches that derive from fusing 3D p…