14 citations · 42 across the 25 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Verifier Errors in RLVR: Reward Hacking, Limits of Feedback, and Selective Control
Christian Moya, Elliott Thornley, Guang Lin
In reinforcement learning with verifiable rewards (RLVR), imperfect verifiers can reward incorrect responses, creating opportunities for reward hacking. Using gradient flow with a…
cs.AI2025
Linear Spatial World Models Emerge in Large Language Models
Matthieu Tehenan, Christian Bolivar Moya, Tenghai Long +1
Large language models (LLMs) have demonstrated emergent abilities across diverse tasks, raising the question of whether they acquire internal world models. In this work, we investi…