5 papers
Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
Xixian Yong, Peilin Sun, Zihe Wang +1
Effective urban planning is crucial for enhancing residents' quality of life and ensuring societal stability, playing a pivotal role in the sustainable development of cities. Curre…
Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding
Jinlin Li, Yuran Wang, Yifei Yuan +5
Large Vision-Language Models (LVLMs) have recently achieved impressive results in multimodal tasks such as image captioning and visual question answering. However, they remain pron…
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
Xixian Yong, Jianxun Lian, Xiaoyuan Yi +2
Large language models (LLMs) have been widely adopted as the core of agent frameworks in various scenarios, such as social simulations and AI companions. However, the extent to whi…
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
Xixian Yong, Xiao Zhou, Yingying Zhang +3
The recent rise of Large Reasoning Models (LRMs) has significantly improved multi-step reasoning performance, but often at the cost of generating excessively long reasoning chains.…
MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
Xixian Yong, Xiao Zhou
Predicting socioeconomic indicators within urban regions is crucial for fostering inclusivity, resilience, and sustainability in cities and human settlements. While pioneering stud…