Carnegie Mellon University（卡内基梅隆大学）

Small but Significant: On the Promise of Small Language Models for Accessible AIED

Yumou Wei, Paulo Carvalho, John Stamper

机构 * Human-Computer Interaction Institute, Carnegie Mellon University, USA（人机交互研究所，卡内基梅隆大学，美国） 纠错

Comments This vision paper advocates using small language models (e.g., Phi-2) in AI for education (AIED)

BLAB: Brutally Long Audio Bench

Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja, Hila Gonen, Valentin Hofmann, Siddhant Arora, Shuyue Stella Li, Vishal Puttagunta, Mofetoluwa Adeyemi, Charishma Buchireddy, Ben Walls, Noah Bennett, Shinji Watanabe, Noah A. Smith, Yulia Tsvetkov, Sachin Kumar

机构 * University of Washington（华盛顿大学） ； Stanford University（斯坦福大学） ； The Ohio State University（俄亥俄州立大学） ； Carnegie Mellon University（卡内基梅隆大学） ； University of Waterloo（多伦多大学） 纠错

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs

Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari

机构 * Carnegie Mellon University（卡内基梅隆大学） ； University of Pittsburgh（匹兹堡大学） ； TechBetter 纠错

Comments 10 pages, 2 column format. In proceedings of ACM FAccT 2025

BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy

Micah Nye, Ayoub Raji, Andrew Saba, Eidan Erlich, Robert Exley, Aragya Goyal, Alexander Matros, Ritesh Misra, Matthew Sivaprakasam, Marko Bertogna, Deva Ramanan, Sebastian Scherer

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） ； University of Modena and Reggio Emilia（摩德纳和雷吉奥艾米利亚大学） ； University of Waterloo（滑铁卢大学） ； University of Pittsburgh（匹兹堡大学） 纠错

Comments 8 pages. 5 figures. ICRA 2025

Bilevel Learning for Bilevel Planning

Bowen Li, Tom Silver, Sebastian Scherer, Alexander Gray

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Centaur AI Institute（Centaur人工智能研究所） ； Princeton University（普林斯顿大学） 纠错

Comments In Proceedings of Robotics, Science, and Systems (RSS 2025). See our website for details: https://jaraxxus-me.github.io/IVNTR/

Neural Algorithmic Reasoning with Multiple Correct Solutions

Zeno Kujawa, John Poole, Dobrik Georgiev, Danilo Numeroso, Henry Fleischmann, Pietro Liò

机构 * Northeastern University（东北大学） ； University of Cambridge（剑桥大学） ； Università di Pisa（比萨大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands

Uksang Yoo, Jonathan Francis, Jean Oh, Jeffrey Ichnowski

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Bosch Center for AI（博世人工智能中心） 纠错

Open-Source, Cost-Aware Kinematically Feasible Planning for Mobile and Surface Robotics

Steve Macenski, Matthew Booker, Joshua Wallace, Tobias Fischer

机构 * Open Navigation LLC ； Carnegie Mellon University（卡内基梅隆大学） ； Locus Robotics ； QUT Centre for Robotics and School of Electrical Engineering and Robotics（QUT机器人中心和电气工程与机器人学院） 纠错

DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion

Qitao Zhao, Amy Lin, Jeff Tan, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani

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

Comments CVPR 2025. Project website: https://qitaozhao.github.io/DiffusionSfM

Proceedings The 13th International Workshop on Theorem proving components for Educational software

Julien Narboux, Walther Neuper, Pedro Quaresma

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

Journal ref EPTCS 419, 2025

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

Parv Kapoor, Ian Higgins, Nikhil Keetha, Jay Patrikar, Brady Moon, Zelin Ye, Yao He, Ivan Cisneros, Yaoyu Hu, Changliu Liu, Eunsuk Kang, Sebastian Scherer

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

Comments 13 pages, RSS 2025 Demo track, https://theairlab.org/visafe/

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan

机构 * Xidian University（西安电子科技大学） ； Griffith University（格里菲斯大学） ； Yunnan University（云南大学） ； Carnegie Mellon University（卡内基梅隆大学） ； Zhejiang University（浙江大学） ； Augusta University（奥古斯塔大学） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） 纠错

Comments Accepted by the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding

Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments NeurIPS 2024. Project page: https://yunzeman.github.io/lexicon3d Github: https://github.com/YunzeMan/Lexicon3D

Modeling Personalized Difficulty of Rehabilitation Exercises Using Causal Trees

Nathaniel Dennler, Zhonghao Shi, Uksang Yoo, Stefanos Nikolaidis, Maja Matarić

机构 * Thomas Lord Department of Computer Science, University of Southern California（美国南加州大学计算机科学系） ； Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） 纠错

Comments Accepted to IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2025)

Multi-Robot Motion Planning with Diffusion Models

Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Brown University（布朗大学） 纠错

Comments The first three authors contributed equally to this work. Published at ICLR 2025

SMORE: Simultaneous Map and Object REconstruction

Nathaniel Chodosh, Anish Madan, Simon Lucey, Deva Ramanan

机构 * Villanova University（维拉诺瓦大学） ； Carnegie Mellon University（卡内基梅隆大学） ； University of Adelaide（阿德莱德大学） 纠错

Comments 3DV 2025,CVPR 2025 4D Vision Workshop

Uncertainty-aware Human Mobility Modeling and Anomaly Detection

Haomin Wen, Shurui Cao, Zeeshan Rasheed, Khurram Hassan Shafique, Leman Akoglu

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Novateur Research Solutions（Novateur研究解决方案） 纠错

Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics

Jesse Barkley, Abraham George, Amir Barati Farimani

机构 * Department of Mechanical Engineering, Carnegie Mellon University（机械工程系，卡内基梅隆大学） 纠错

Comments 10 pages, 4 figures, 2 tables

Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models

Jordan Taylor, Joel Mire, Franchesca Spektor, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah Fox

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

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior

Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang

机构 * UC San Diego（加州大学圣地亚哥分校） ； CMU（卡内基梅隆大学） ； USC（南加州大学） 纠错

Comments Further details and supportive media can be found at our project site: https://rchalyang.github.io/VIM

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action

Jen-Hao Cheng, Vivian Wang, Huayu Wang, Huapeng Zhou, Yi-Hao Peng, Hou-I Liu, Hsiang-Wei Huang, Kuang-Ming Chen, Cheng-Yen Yang, Wenhao Chai, Yi-Ling Chen, Vibhav Vineet, Qin Cai, Jenq-Neng Hwang

机构 * University of Washington（华盛顿大学） ； Carnegie Mellon University（卡内基梅隆大学） ； National Yang Ming Chiao Tung University ； Microsoft（微软公司） 纠错

Ground Perturbation Detection via Lower-Limb Kinematic States During Locomotion

Maria T. Tagliaferri, Leonardo Campeggi, Owen N. Beck, Inseung Kang

机构 * Department of Mechanical Engineering, Carnegie Mellon University（机械工程系，卡内基梅隆大学） ； Department of Kinesiology and Health Education, The University of Texas at Austin（运动科学与健康教育系，德克萨斯大学奥斯汀分校） 纠错

Comments 6 pages, 6 figures

Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach

Yubo Li, Rema Padman

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

AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias

Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu, Wenbin Zhang

机构 * Florida International University（佛罗里达国际大学） ； University of Pittsburgh（匹兹堡大学） ； Jose Marti MAST 6-12 Academy（乔斯·马丁中学6-12年级学院） ； Emory University（埃默里大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Accepted by PLOS digital health

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan

机构 * 1 SpeechColab 2 Seasalt AI Inc 3 Dept EE, Tsinghua University 4 Tencent AI Lab 5 Xiaomi Corporation 6 CLSP \& HLTCOE, The Johns Hopkins University 7 Carnegie Mellon University 8 KE Holdings Inc 纠错

Journal ref INTERSPEECH (2021) 3670-3674

Transferable Adversarial Attacks on Black-Box Vision-Language Models

Kai Hu, Weichen Yu, Li Zhang, Alexander Robey, Andy Zou, Chengming Xu, Haoqi Hu, Matt Fredrikson

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

Improving Large Language Model Planning with Action Sequence Similarity

Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nova

机构 * Google DeepMind（谷歌DeepMind） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments 25 pages, 11 figures

Journal ref The Thirteenth International Conference on Learning Representations (ICLR 2025)

ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Yufei Wang, Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erickson, David Held

机构 * Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人学院） ； IIIS, Tsinghua University（清华大学人工智能研究所） ； Department of Computer Science, National Yang Ming Chiao Tung University（国立阳明交通大学计算机科学系） 纠错

Comments Accepted at RSS 2025

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment

Yilin Wu, Ran Tian, Gokul Swamy, Andrea Bajcsy

机构 * Carnegie Mellon University（卡内基梅隆大学） ； UC Berkeley（伯克利大学） 纠错

Optimal Interactive Learning on the Job via Facility Location Planning

Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Konidaris

机构 * Brown University（布朗大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Accepted to Robotics: Science and Systems (RSS) 2025