Junzhe Jiang

According to our database, Junzhe Jiang authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed.

Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang

Trans. Mach. Learn. Res., 2026

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.

Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Trans. Mach. Learn. Res., 2026

Towards robust deep reinforcement learning-based quantitative trading with neuro-symbolic trend analysis.

Junzhe Jiang, Zhiming Li, Aixin Cui, Xiao Zhou, Bo Li, Dongning Sun

Neural Networks, 2026

2025

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction.

Junzhe Jiang, Chang Yang, Xinrun Wang, Bo Li

CoRR, June, 2025

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs.

Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Ruiyu Wang, Bo Li, Xiao Huang, Dongning Sun, Xinrun Wang

CoRR, May, 2025

Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning.

Junzhe Jiang, Chang Yang, Xinrun Wang, Zhiming Li, Xiao Huang, Bo Li

CoRR, May, 2025

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning.

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Evaluating World Models with LLM for Decision Making.

Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang

CoRR, 2024

LLMs for Relational Reasoning: How Far are We?

Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu

LLM4CODE@ICSE, 2024

Improving Neural Logic Machines via Failure Reflection.

Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Logic-guided Deep Reinforcement Learning for Stock Trading.

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024