11 citations · 11 across the 3 of their papers we have counts for
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cs.LG2025
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
Yihang Yao, Guangtao Zeng, Raina Wu +4
Reinforcement learning (RL) has emerged as a powerful paradigm for enhancing the reasoning capabilities of large language models (LLMs). While RL has demonstrated substantial perfo…
cs.SI2025
Influence Prediction in Collaboration Networks: An Empirical Study on arXiv
Marina Lin, Laura P. Schaposnik, Raina Wu
This paper provides an empirical study of the Social Sphere Model for influence prediction, previously introduced by the authors, combining link prediction with top-k centrality-ba…
cs.AI2025★ 11 cited
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
Mohamed Elrefaie, Janet Qian, Raina Wu +3
We introduce the concept of "Design Agents" for engineering applications, particularly focusing on the automotive design process, while emphasizing that our approach can be readily…