1 citations · 1 across the 3 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
PhoneWorld: Scaling Phone-Use Agent Environments
Zhengyang Tang, Yuxuan Liu, Xin Lai +21
A central bottleneck for phone-use agents is that controllable, reproducible environments covering real mobile behavior are hard to build at scale. Existing mobile-agent benchmarks…
cs.CL2026
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao +9
Despite the critical role of reward models (RMs) in Reinforcement Learning from Human Feedback (RLHF), current state-of-the-art open RMs perform poorly on most existing evaluation…