6 papers
Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing
Runze He, Yiji Cheng, Tiankai Hang +11
In-context image generation and editing (ICGE) enables users to specify visual concepts through interleaved image-text prompts, demanding precise understanding and faithful executi…
Dual-Axis RCCL: Representation-Complete Convergent Learning for Organic Chemical Space
Dejun Hu, Zhiming Li, Jia-Rui Shen +3
Machine learning is profoundly reshaping molecular and materials modeling; however, given the vast scale of chemical space (10^30-10^60), it remains an open scientific question whe…
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
Xiangwei Shen, Zhimin Li, Zhantao Yang +6
Recent studies have demonstrated the effectiveness of directly aligning diffusion models with human preferences using differentiable reward. However, they exhibit two primary chall…
Towards Universal & Efficient Model Compression via Exponential Torque Pruning
Sarthak Ketanbhai Modi, Zi Pong Lim, Shourya Kuchhal +5
The rapid growth in complexity and size of modern deep neural networks (DNNs) has increased challenges related to computational costs and memory usage, spurring a growing interest…
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Ruihuang Li, Caijin Zhou, Shoujian Zheng +55
Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content…
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
Yibin Wang, Zhimin Li, Yuhang Zang +4
Recent advances in multimodal Reward Models (RMs) have shown significant promise in delivering reward signals to align vision models with human preferences. However, current RMs ar…