Anji Liu

According to our database, Anji Liu authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

CoRR, 2024

Image Inpainting via Tractable Steering of Diffusion Models.

Anji Liu, Mathias Niepert, Guy Van den Broeck

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

CoRR, 2023

Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

CoRR, 2023

GROOT: Learning to Follow Instructions by Watching Gameplay Videos.

Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2023

ProAgent: Building Proactive Cooperative AI 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

CoRR, 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

Proceedings of the International Conference on Machine Learning, 2023

Scaling Up Probabilistic Circuits by Latent Variable Distillation.

Anji Liu, Honghua Zhang, Guy Van den Broeck

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Out-of-Distribution Generalization by Neural-Symbolic Joint Training.

Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Tractable and Expressive Generative Models of Genetic Variation Data.

Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck

Proceedings of the Research in Computational Molecular Biology, 2022

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation.

Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse Probabilistic Circuits via Pruning and Growing.

Meihua Dang, Anji Liu, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lossless Compression with Probabilistic Circuits.

Anji Liu, Stephan Mandt, Guy Van den Broeck

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.

Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck

CoRR, 2021

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference.

Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tractable Regularization of Probabilistic Circuits.

Anji Liu, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On Effective Parallelization of Monte Carlo Tree Search.

Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen

CoRR, 2020

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search.

Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration.

Anji Liu, Yitao Liang, Guy Van den Broeck

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Balance gate controlled deep neural network.

Anji Liu, Yuanjun Laili

Neurocomputing, 2018