ML Anthology

Zhang, Yueqi

5 publications

NeurIPS 2025 Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li
CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
NeurIPS 2025 Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules Yueqi Zhang, Peiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li
NeurIPS 2025 Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator Peiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li
ICLR 2025 UniCBE: An Uniformity-Driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li