Shibo Hao

According to our database, Shibo Hao authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

Wireless Charging for Uncertain Location Nodes.

Chi Lin, Qiwei Wang, Hengyi Li, Shibo Hao, Yi Wang, Lei Wang, Xin Fan, Guowei Wu

IEEE Trans. Mob. Comput., August, 2025

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.

Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, June, 2025

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models.

Yanbin Yin, Kun Zhou, Zhen Wang, Zhaoxiang Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu

CoRR, May, 2025

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought.

Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian

CoRR, May, 2025

LLM Pretraining with Continuous Concepts.

Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason Weston, Xian Li

CoRR, February, 2025

Linear Correlation in LM's Compositional Generalization and Hallucination.

Letian Peng, Chenyang An, Shibo Hao, Chengyu Dong, Jingbo Shang

CoRR, February, 2025

Offline Reinforcement Learning for LLM Multi-step Reasoning.

Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Enhancing innovation performance of SMEs through open innovation and absorptive capacity: the moderating effect of business model.

Chang Lu, Yong Qi, Shibo Hao

Technol. Anal. Strateg. Manag., October, 2024

Maximizing Charging Efficiency With Fresnel Zones.

Chi Lin, Shibo Hao, Haipeng Dai, Wei Yang, Lei Wang, Guowei Wu, Qiang Zhang

IEEE Trans. Mob. Comput., January, 2024

Offline Reinforcement Learning for LLM Multi-Step Reasoning.

Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu

CoRR, 2024

Training Large Language Models to Reason in a Continuous Latent Space.

Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian

CoRR, 2024

Pandora: Towards General World Model with Natural Language Actions and Video States.

Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, 2024

Flow of Reasoning: Efficient Training of LLM Policy with Divergent Thinking.

Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, Lianhui Qin

CoRR, 2024

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models.

Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu

CoRR, 2024

How and when domestic and international collaboration networks influence innovation performance of SMEs: evidence from China.

Chang Lu, Yong Qi, Shibo Hao, Bo Yu

Bus. Process. Manag. J., 2024

2023

Maximizing Energy Efficiency of Period-Area Coverage With a UAV for Wireless Rechargeable Sensor Networks.

Chi Lin, Shibo Hao, Wei Yang, Pengfei Wang, Lei Wang, Guowei Wu, Qiang Zhang

IEEE/ACM Trans. Netw., August, 2023

Neural-Symbolic Interaction and Co-Evolving.

Bowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

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

Reasoning with Language Model is Planning with World Model.

Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models.

Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

BertNet: Harvesting Knowledge Graphs from Pretrained Language Models.

Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

CoRR, 2022

Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.

Quzhe Huang, Shibo Hao, Yuan Ye, Shengqi Zhu, Yansong Feng, Dongyan Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.

Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021