2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning
Outongyi Lv, Yuanwei Zhang, Xiaoqun Zhang
Reinforcement learning (RL), particularly RL with Verifiable Rewards (RLVR), has recently emerged as a central paradigm for enhancing large language models' (LLMs) reasoning abilit…
cs.SI2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks
Outongyi Lv, Bingxin Zhou, Jing Wang +3
Social networks represent a common form of interconnected data frequently depicted as graphs within the domain of deep learning-based inference. These communities inherently form d…
q-bio.QM2023★ 2 cited
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
Bingxin Zhou, Outongyi Lv, Kai Yi +4
Directed evolution as a widely-used engineering strategy faces obstacles in finding desired mutants from the massive size of candidate modifications. While deep learning methods le…