Haiteng Zhao

According to our database, Haiteng Zhao authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-thinking Reasoning.

Junhao Shen, Haiteng Zhao, Yuzhe Gu, Songyang Gao, Kuikun Liu, Haian Huang, Jianfei Gao, Dahua Lin, Wenwei Zhang, Kai Chen

CoRR, July, 2025

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu

CoRR, July, 2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

CoRR, May, 2025

BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning.

Haiteng Zhao, Chang Ma, Fangzhi Xu, Lingpeng Kong, Zhi-Hong Deng

CoRR, February, 2025

Non-myopic Generation of Language Models for Reasoning and Planning.

Chang Ma, Haiteng Zhao, Junlei Zhang, Junxian He, Lingpeng Kong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning.

Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation.

Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Jun Liu, Qika Lin, Zhiyong Wu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model.

Yuran Xiang, Haiteng Zhao, Chang Ma, Zhi-Hong Deng

CoRR, 2024

Empowering Large Language Model Agents through Action Learning.

Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang

CoRR, 2024

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.

Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang

CoRR, 2024

Retrieved Sequence Augmentation for Protein Representation Learning.

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Retrieved Sequence Augmentation for Protein Representation Learning.

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong

CoRR, 2023

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning.

Haiteng Zhao, Shengchao Liu, Chang Ma, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu

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

Are More Layers Beneficial to Graph Transformers?

Haiteng Zhao, Shuming Ma, Dongdong Zhang, Zhi-Hong Deng, Furu Wei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Domain Adaptation via Maximizing Surrogate Mutual Information.

Haiteng Zhao, Chang Ma, Qinyu Chen, Zhi-Hong Deng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Certified Robustness Against Natural Language Attacks by Causal Intervention.

Haiteng Zhao, Chang Ma, Xinshuai Dong, Anh Tuan Luu, Zhi-Hong Deng, Hanwang Zhang

Proceedings of the International Conference on Machine Learning, 2022