3 papers
cs.AI2026
Reasoning Jury: Multi-Model Consensus for Evaluating Reasoning Traces
Congchao Wang, Diwakar Singh, Qiaozi Gao +3
Improving reasoning LLMs requires the ability to judge the quality of long reasoning traces for effective reasoning data curation, strong training signals during reinforcement lear…
cs.IR2025
MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
Wan Jiang, Xinyi Zang, Yudong Zhao +7
Modern recommender systems face significant computational challenges due to growing model complexity and traffic scale, making efficient computation allocation critical for maximiz…
cs.IR2025
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling
Yunjiang Jiang, Ayush Agarwal, Yang Liu +1
Scaling large recommendation systems requires advancing three major frontiers: processing longer user histories, expanding candidate sets, and increasing model capacity. While prom…