TMLR

Preference Discerning with LLM-Enhanced Generative Retrieval

Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh

机构 * ELLIS Unit, LIT AI Lab, Institute for Machine Learning, JKU Linz（ELLIS单位、LIT人工智能实验室、机器学习研究所、JKU林茨） ； University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； AI at Meta（Meta人工智能） 纠错

Comments Accepted at TMLR, Code available at https://github.com/facebookresearch/preference_discerning

Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors

Soumava Paul, Prakhar Kaushik, Alan Yuille

机构 * CCVL, Johns Hopkins University（CCVL，约翰霍普金斯大学） 纠错

Comments Accepted to TMLR 2025. Code and models released at https://gaussianscenes.github.io/

Agreement-Based Cascading for Efficient Inference

Steven Kolawole, Don Dennis, Ameet Talwalkar, Virginia Smith

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Published at TMLR (July 2025)

Journal ref TMLR 2025