6 papers
Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning
Ziheng Li, Liu Kang, Feng Xiao +7
Group Relative Policy Optimization (GRPO) has emerged as a promising critic-free reinforcement learning paradigm for reasoning tasks. However, standard GRPO employs a coarse-graine…
Accelerated Evolving Set Processes for Local PageRank Computation
Binbin Huang, Luo Luo, Yanghua Xiao +2
This work proposes a novel framework based on nested evolving set processes to accelerate Personalized PageRank (PPR) computation. At each stage of the process, we employ a localiz…
Heterogeneous Influence Maximization in User Recommendation
Hongru Hou, Jiachen Sun, Wenqing Lin +3
User recommendation systems enhance user engagement by encouraging users to act as inviters to interact with other users (invitees), potentially fostering information propagation.…
From Text to Trajectories: GPT-2 as an ODE Solver via In-Context
Ziyang Ma, Baojian Zhou, Deqing Yang +1
In-Context Learning (ICL) has emerged as a new paradigm in large language models (LLMs), enabling them to perform novel tasks by conditioning on a few examples embedded in the prom…
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai, Baojian Zhou, Deqing Yang +1
Efficient computation of graph diffusion equations (GDEs), such as Personalized PageRank, Katz centrality, and the Heat kernel, is crucial for clustering, training neural networks,…
Iterative Methods via Locally Evolving Set Process
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh +3
Given the damping factor and precision tolerance , \citet{andersen2006local} introduced Approximate Personalized PageRank (APPR), the \textit{de facto local method} for ap…