Liang, Yitao

46 publications

ICLR 2025 GROOT-2: Weakly Supervised Multimodal Instruction Following Agents Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

ICML 2025 Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin

ICML 2025 MCU: An Evaluation Framework for Open-Ended Game Agents Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang

ICCV 2025 Open-World Skill Discovery from Unsegmented Demonstration Videos Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

NeurIPS 2025 Plug-and-Play Context Feature Reuse for Efficient Masked Generation Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

NeurIPS 2025 QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design Rui Yang, Ziruo Wang, Yuntian Gu, Yitao Liang, Tongyang Li

CVPR 2025 ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

ICLR 2025 TFG-Flow: Training-Free Guidance in Multimodal Generative Flow Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

TMLR 2025 The AI Hippocampus: How Far Are We from Human Memory? Zixia Jia, Jiaqi Li, Yipeng Kang, Yuxuan Wang, Tong Wu, Quansen Wang, Xiaobo Wang, Shuyi Zhang, Junzhe Shen, Qing Li, Siyuan Qi, Yitao Liang, Di He, Zilong Zheng, Song-Chun Zhu

ICML 2025 Tractable Transformers for Flexible Conditional Generation Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van Den Broeck

NeurIPS 2024 A Tractable Inference Perspective of Offline RL Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

ICMLW 2024 A Tractable Inference Perspective of Offline RL Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

NeurIPSW 2024 CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang

ICMLW 2024 GROOT-1.5: Learning to Follow Multi-Modal Instructions from Weak Supervision Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

ICLR 2024 GROOT: Learning to Follow Instructions by Watching Gameplay Videos Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

NeurIPS 2024 Mars: Situated Inductive Reasoning in an Open-World Environment Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-chun Zhu, Muhan Zhang, Zilong Zheng

ICLR 2024 Neural-Symbolic Recursive Machine for Systematic Generalization Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang

NeurIPS 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang

ICMLW 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang

AAAI 2024 ProAgent: Building Proactive Cooperative Agents with Large Language Models Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

NeurIPSW 2024 RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning and Verification in Long-Horizon Generation Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

NeurIPSW 2024 ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

ICML 2024 Selecting Large Language Model to Fine-Tune via Rectified Scaling Law Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

ICLRW 2024 Selecting Large Language Model to Fine-Tune via Rectified Scaling Law Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

NeurIPS 2024 TFG: Unified Training-Free Guidance for Diffusion Models Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon

NeurIPS 2023 Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang

NeurIPSW 2023 GROOT: Learning to Follow Instructions by Watching Gameplay Videos Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

NeurIPSW 2023 GROOT: Learning to Follow Instructions by Watching Gameplay Videos Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

NeurIPSW 2023 JARVIS-1: Open-World Multi-Task Agents with Memory-Augmented Multimodal Language Models Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

NeurIPSW 2023 MCU: A Task-Centric Framework for Open-Ended Agent Evaluation in Minecraft Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

CVPR 2023 Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

AAAI 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang

ICLR 2023 SQA3D: Situated Question Answering in 3D Scenes Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang

NeurIPSW 2023 Transformer-Based Large Language Models Are Not General Learners: A Universal Circuit Perspective Yang Chen, Yitao Liang, Zhouchen Lin

ICML 2023 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Xuejie Liu, Anji Liu, Guy Van Den Broeck, Yitao Liang

NeurIPS 2022 Efficient Meta Reinforcement Learning for Preference-Based Fast Adaptation Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

AAAI 2021 Juice: A Julia Package for Logic and Probabilistic Circuits Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

ICMLW 2020 Handling Missing Data in Decision Trees: A Probabilistic Approach Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck

CoRL 2020 SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

ICMLW 2019 Horizon: Facebook’s Open Source Applied Reinforcement Learning Platform Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye, Zhengxing Chen

AAAI 2019 Learning Logistic Circuits Yitao Liang, Guy Van den Broeck

NeurIPS 2019 On Tractable Computation of Expected Predictions Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

IJCAI 2019 What to Expect of Classifiers? Reasoning About Logistic Regression with Missing Features Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck

ICML 2018 A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Broeck

NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu

UAI 2017 Learning the Structure of Probabilistic Sentential Decision Diagrams Yitao Liang, Jessa Bekker, Guy Van den Broeck