4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.AI2025
RL in the Wild: Characterizing RLVR Training in LLM Deployment
Jiecheng Zhou, Qinghao Hu, Yuyang Jin +7
Large Language Models (LLMs) are now widely used across many domains. With their rapid development, Reinforcement Learning with Verifiable Rewards (RLVR) has surged in recent month…
cs.CL2025★ 4 cited
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
5 Team, Aohan Zeng, Xin Lv +167
We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that s…
cs.DC2020★ 2 cited
GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
Tianhui Shi, Mingshu Zhai, Yi Xu +1
Graph pattern matching, which aims to discover structural patterns in graphs, is considered one of the most fundamental graph mining problems in many real applications. Despite pre…