New York University（纽约大学）

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

Yunhai Hu, Yilun Zhao, Chen Zhao, Arman Cohan

机构 * Yale University（耶鲁大学） ； New York University（纽约大学） 纠错

NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks

Alex Reneau, Jerry Yao-Chieh Hu, Zhongfang Zhuang, Ting-Chun Liu, Xiang He, Judah Goldfeder, Nadav Timor, Allen G Roush, Ravid Shwartz-Ziv

机构 * Ensemble AI ； Columbia University（哥伦比亚大学） ； Weizmann Institute of Science（魏茨曼科学研究所） ； Wand AI/Thoughtworks ； NYU（纽约大学） 纠错

Comments Code is available at https://github.com/ensemble-core/NdLinear

Speculative Decoding and Beyond: An In-Depth Survey of Techniques

Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel, Sai Qian Zhang

机构 * New York University（纽约大学） ； University of Pennsylvania（宾夕法尼亚大学） ； Shenzhen Institute of Information Technology（深圳信息技术研究所） ； Franklin and Marshall College（弗兰克林与马歇尔学院） 纠错

Three Forms of Stochastic Injection for Improved Distribution-to-Distribution Generative Modeling

Shiye Su, Yuhui Zhang, Linqi Zhou, Rajesh Ranganath, Serena Yeung-Levy

机构 * Stanford University（斯坦福大学） ； Luma AI ； New York University（纽约大学） 纠错

PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles

Yitao Long, Yuru Jiang, Hongjun Liu, Yilun Zhao, Jingchen Sun, Yiqiu Shen, Chen Zhao, Arman Cohan, Dennis Shasha

机构 * New York University（纽约大学） ； Zhejiang University（浙江大学） ； Yale University（耶鲁大学） ； University at Buffalo, SUNY（布法罗大学） ； NYU Grossman School of Medicine（纽约大学医学院） 纠错

FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering

Yitao Long, Tiansheng Hu, Yilun Zhao, Arman Cohan, Chen Zhao

机构 * NYU Shanghai（纽约大学上海校区） ； Yale University（耶鲁大学） ； New York University（纽约大学） 纠错

Comments EMNLP 2025 Findings

ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation

Junyi Mo, Jiayu Li, Duo Zhang, Elynn Chen

机构 * New York University（纽约大学） 纠错

Comments The 6th ACM International Conference on AI in Finance (ICAIF 2025)

2 OLMo 2 Furious

Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Allyson Ettinger, Michal Guerquin, David Heineman, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Jake Poznanski, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi

机构 * Allen Institute for AI（艾伦人工智能研究所） ； University of Washington（华盛顿大学） ； New York University（纽约大学） 纠错

Comments Shorter version accepted to COLM 2025. Updated to include 32B results. Model demo available at playground.allenai.org

The Adversarial Consistency of Surrogate Risks for Binary Classification

Natalie Frank, Jonathan Niles-Weed

机构 * Courant Institute（Courant 院） ； New York University（纽约大学） 纠错

Comments 17 pages, published in NeurIps 2023. version 3: added acknowledgements, no other changes. version 2: reorganized Section 4 and added proofs of the approximate complimentary slackness theorems. arXiv admin note: text overlap with arXiv:2206.09099

Journal ref Advances in Neural Information Processing Systems 2023

Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification

Natalie S. Frank, Jonathan Niles-Weed

机构 * Courant Institute New York University（纽约大学Courant学院） ； Courant Institute and Center for Data Science New York University（纽约大学Courant学院和数据科学中心） 纠错

Comments 42 pages. version 2: corrects several errors and employs a significantly different proof technique. version 3: modifies the arXiv author list but has no other changes. version 4: improved exposition and fixed typos

Journal ref Journal of Machine Leanring Research 2024