11 citations · 11 across the 3 of their papers we have counts for
5 papers
Does self-distillation improve reasoning?
Jason Ken Adhinarta, Raina Wu, Ashutosh Sharma +5
Self-distillation is an emerging approach that trains a model to imitate its own predictions when conditioned on privileged information, such as correct answers or environmental fe…
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…
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…
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…
The Social Sphere Model: Heuristic Influence Prediction in Evolving Networks
Marina Lin, Laura P. Schaposnik, Raina Wu
How would admissions look like in a university program for influencers? In the realm of social network analysis, influence maximization and link prediction stand out as pivotal cha…