Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification. - Haoqiang Kang; Juntong Ni; Huaxiu Yao (CoRR, 2023)

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination. - Haoqiang Kang; Xiao-Yang Liu (CoRR, 2023)

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models. - Haoqiang Kang; Terra Blevins; Luke Zettlemoyer (EACL (1), 2024)

XBRL Agent: Leveraging Large Language Models for Financial Report Analysis. - Shijie Han; Haoqiang Kang; Bo Jin; Xiao-Yang Liu; Steve Y. Yang (ICAIF, 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; et al. (NeurIPS, 2024)

Comparing Hallucination Detection Metrics for Multilingual Generation. - Haoqiang Kang; Terra Blevins; Luke Zettlemoyer (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; et al. (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)

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks. - Haoqiang Kang; Enna Sachdeva; Piyush Gupta; Sangjae Bae; Kwonjoon Lee (CVPR, 2025)