Haoqiang Kang

According to our database, Haoqiang Kang authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning.

Haoqiang Kang, Xiaokang Ye, Yuhan Liu, Siddhant Hitesh Mantri, Lingjun Mao, James Fleming, Drishti Regmi, Lianhui Qin

CoRR, May, 2026

Beyond Mode Elicitation: Diversity-Preserving Reinforcement Learning via Latent Diffusion Reasoner.

Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Yi-An Ma, Lianhui Qin

CoRR, February, 2026

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models.

Fangxu Yu, Xingang Guo, Lingzhi Yuan, Haoqiang Kang, Hongyu Zhao, Lianhui Qin, Furong Huang, Bin Hu, Tianyi Zhou

CoRR, January, 2026

2025

Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench.

Lanxiang Hu, Abhilash Shankarampeta, Yixin Huang, Zilin Dai, Haoyang Yu, Yujie Zhao, Haoqiang Kang, Daniel Zhao, Tajana Rosing, Hao Zhang

CoRR, December, 2025

PAN: A World Model for General, Interactable, and Long-Horizon World Simulation.

Jiannan Xiang, Yi Gu, Zihan Liu, Zeyu Feng, Qiyue Gao, Yiyan Hu, Benhao Huang, Guangyi Liu, Yichi Yang, Kun Zhou, Davit Abrahamyan, Arif Ahmad, Ganesh Bannur, Junrong Chen, Kimi Chen, Mingkai Deng, Ruobing Han, Xinqi Huang, Haoqiang Kang, Zheqi Li, Enze Ma, Hector Ren, Yashowardhan Shinde, Rohan Shingre, Ramsundar Tanikella, Kaiming Tao, Dequan Yang, Xinle Yu, Cong Zeng, Binglin Zhou, Hector Liu, Zhiting Hu, Eric P. Xing

CoRR, November, 2025

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning.

Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Nicklas Majamaki, Navdeep Jaitly, Yi-An Ma, Lianhui Qin

CoRR, October, 2025

Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks.

Haoqiang Kang, Enna Sachdeva, Piyush Gupta, Sangjae Bae, Kwonjoon Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

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

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

CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

CoRR, 2024

Comparing Hallucination Detection Metrics for Multilingual Generation.

Haoqiang Kang, Terra Blevins, Luke Zettlemoyer

CoRR, 2024

FinBen: A Holistic Financial Benchmark for Large Language Models.

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

XBRL Agent: Leveraging Large Language Models for Financial Report Analysis.

Shijie Han, Haoqiang Kang, Bo Jin, Xiao-Yang Liu, Steve Y. Yang

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models.

Haoqiang Kang, Terra Blevins, Luke Zettlemoyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination.

Haoqiang Kang, Xiao-Yang Liu

CoRR, 2023

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification.

Haoqiang Kang, Juntong Ni, Huaxiu Yao

CoRR, 2023