Unveiling Project-Specific Bias in Neural Code Models. - Zhiming Li; Yanzhou Li; Tianlin Li; Mengnan Du; Bozhi Wu; Yushi Cao; Junzhe Jiang 002; Yang Liu 003 (LREC/COLING, 2024)

Logic-guided Deep Reinforcement Learning for Stock Trading. - Zhiming Li; Junzhe Jiang 002; Yushi Cao; Aixin Cui; Bozhi Wu; Bo Li 037; Yang Liu 003 (Tiny Papers @ ICLR, 2024)

Improving Neural Logic Machines via Failure Reflection. - Zhiming Li; Yushi Cao; Yan Zheng 002; Xu Liu 014; Bozhi Wu; Tianlin Li; Xiufeng Xu; Junzhe Jiang 002; Yon Shin Teo; Shang-Wei Lin 001; Yang Liu 003 (ICML, 2024)

LLMs for Relational Reasoning: How Far are We? - Zhiming Li; Yushi Cao; Xiufeng Xu; Junzhe Jiang 002; Xu Liu 014; Yon Shin Teo; Shang-Wei Lin 001; Yang Liu 003 (LLM4CODE@ICSE, 2024)

Evaluating World Models with LLM for Decision Making. - Chang Yang; Xinrun Wang; Junzhe Jiang 002; Qinggang Zhang; Xiao Huang 001 (CoRR, 2024)

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning. - Zhiming Li; Junzhe Jiang 002; Yushi Cao; Aixin Cui; Bozhi Wu; Bo Li 037; Yang Liu 003; Danny Dongning Sun (AAAI, 2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. - Chang Yang; Ruiyu Wang; Junzhe Jiang 002; Qi Jiang; Qinggang Zhang; Yanchen Deng; Shuxin Li 001; Shuyue Hu; Bo Li 037; Florian T. Pokorny; Xiao Huang 001; Xinrun Wang (CoRR, 2025)

Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning. - Junzhe Jiang 002; Chang Yang; Xinrun Wang; Zhiming Li; Xiao Huang 001; Bo Li 037 (CoRR, 2025)

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs. - Junzhe Jiang 002; Chang Yang; Aixin Cui; Sihan Jin; Ruiyu Wang; Bo Li 037; Xiao Huang 001; Dongning Sun; Xinrun Wang (CoRR, 2025)

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction. - Junzhe Jiang 002; Chang Yang; Xinrun Wang; Bo Li 037 (CoRR, 2025)