Yitao Liang

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping AAAI 2026 Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment AAAI 2026 Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning CVPR 2026 GROOT-2: Weakly Supervised Multimodal Instruction Following Agents ICLR 2025 JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse ACL 2025 Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization ICML 2025 MCU: An Evaluation Framework for Open-Ended Game Agents ICML 2025 Open-World Skill Discovery from Unsegmented Demonstration Videos ICCV 2025 Quantification of Large Language Model Distillation ACL 2025 ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting CVPR 2025 TFG-Flow: Training-free Guidance in Multimodal Generative Flow ICLR 2025 Tractable Transformers for Flexible Conditional Generation ICML 2025 A Tractable Inference Perspective of Offline RL NeurIPS 2024 GROOT: Learning to Follow Instructions by Watching Gameplay Videos ICLR 2024 Mars: Situated Inductive Reasoning in an Open-World Environment NeurIPS 2024 Neural-Symbolic Recursive Machine for Systematic Generalization ICLR 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NeurIPS 2024 ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024 RulE: Knowledge Graph Reasoning with Rule Embedding ACL 2024 Selecting Large Language Model to Fine-tune via Rectified Scaling Law ICML 2024 TFG: Unified Training-Free Guidance for Diffusion Models NeurIPS 2024 Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents NeurIPS 2023 Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction CVPR 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023 SQA3D: Situated Question Answering in 3D Scenes ICLR 2023 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023 Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation NeurIPS 2022 Juice: A Julia Package for Logic and Probabilistic Circuits AAAI 2021 SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CoRL 2020 Learning Logistic Circuits AAAI 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features IJCAI 2019 A Semantic Loss Function for Deep Learning with Symbolic Knowledge ICML 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018