Xu, Peng

52 publications

NeurIPS 2025 AceReason-Nemotron: Advancing Math and Code Reasoning Through Reinforcement Learning Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

ICLRW 2025 Achieving Human Level Competitive Robot Table Tennis David B D'Ambrosio, Saminda Wishwajith Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Marcin Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R Sanketi

ICCV 2025 AdsQA: Towards Advertisement Video Understanding Xinwei Long, Kai Tian, Peng Xu, Guoli Jia, Jingxuan Li, Sa Yang, Yihua Shao, Kaiyan Zhang, Che Jiang, Hao Xu, Yang Liu, Jiaheng Ma, Bowen Zhou

ICCV 2025 CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection Hanzhi Zhong, Zhiyu Xiang, Ruoyu Xu, Jingyun Fu, Peng Xu, Shaohong Wang, Zhihao Yang, Tianyu Pu, Eryun Liu

ICLR 2025 ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro

CVPRW 2025 IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu

AAAI 2025 SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang, Hanzhi Zhong, Xijun Zhao, Ruina Dang, Peng Xu, Tianyu Pu, Eryun Liu

ICLR 2025 Vision Language Models Are In-Context Value Learners Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

NeurIPS 2024 AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang

CVPR 2024 Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching Peng Xu, Zhiyu Xiang, Chengyu Qiao, Jingyun Fu, Tianyu Pu

ICLR 2024 BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo

NeurIPS 2024 ChatQA: Surpassing GPT-4 on Conversational QA and RAG Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

ICML 2024 InstructRetro: Instruction Tuning Post Retrieval-Augmented Pretraining Boxin Wang, Wei Ping, Lawrence Mcafee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro

CVPR 2024 LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

ICML 2024 MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

CoRL 2024 Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan

ICLR 2024 OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo

AAAI 2024 P-Laplacian Adaptation for Generative Pre-Trained Vision-Language Models Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu

ICML 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter

CoRL 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

ICLR 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao

ICLR 2024 Retrieval Meets Long Context Large Language Models Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

ICCV 2023 DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change Peng Xu, Xiatian Zhu

ICCV 2023 DiffRate : Differentiable Compression Rate for Efficient Vision Transformers Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

ICML 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

ICML 2023 Feature Expansion for Graph Neural Networks Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang

CoRL 2023 Language to Rewards for Robotic Skill Synthesis Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

CoRL 2023 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

NeurIPSW 2023 RoboVQA: Multimodal Long-Horizon Reasoningfor Robotics Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

CoRL 2023 Robots That Ask for Help: Uncertainty Alignment for Large Language Model Planners Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

CoRL 2022 Do as I Can, Not as I Say: Grounding Language in Robotic Affordances Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander T Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

NeurIPS 2022 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro

NeurIPS 2022 Factuality Enhanced Language Models for Open-Ended Text Generation Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale N Fung, Mohammad Shoeybi, Bryan Catanzaro

CoRL 2022 Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

ICLR 2022 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

NeurIPSW 2021 Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander T Toshev, Sergey Levine, Brian Ichter

CoRL 2021 Visual-Locomotion: Learning to Walk on Complex Terrains with Vision Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang

AAAI 2020 Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung

AISTATS 2020 Better Long-Range Dependency by Bootstrapping a Mutual Information Regularizer Yanshuai Cao, Peng Xu

AAAI 2020 CAiRE: An End-to-End Empathetic Chatbot Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung

CoRL 2020 Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan

ICML 2020 On Variational Learning of Controllable Representations for Text Without Supervision Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao

AAAI 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang

ICLRW 2019 Passage Ranking with Weak Supervision Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

ACML 2019 Prediction of Crowd Flow in City Complex with Missing Data Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu, Mingyao Hou, Hengchang Liu

AISTATS 2018 Accelerated Stochastic Power Iteration Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré

NeurIPS 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang, Fred Roosta, Peng Xu, Michael W. Mahoney

ECCV 2016 Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo

ECCVW 2016 Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo

NeurIPS 2016 Sub-Sampled Newton Methods with Non-Uniform Sampling Peng Xu, Jiyan Yang, Fred Roosta, Christopher Ré, Michael W. Mahoney

NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse Peng Xu, Timothy K. Horiuchi, Pamela A. Abshire

NeurIPS 2004 Using Random Forests in the Structured Language Model Peng Xu, Frederick Jelinek