4 papers
NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models
Ziming Dai, Dabiao Ma, Jinle Tong +5
Although the Gradient Boosted Decision Trees (GBDTs) dominate industrial tabular applications, upgrading legacy models in high-concurrency production environments still faces prohi…
FCMBench: The First Large-scale Financial Credit Multimodal Benchmark for Real-world Applications
Yehui Yang, Dalu Yang, Fangxin Shang +7
FCMBench is the first large-scale and privacy-compliant multimodal benchmark for real-world financial credit applications, covering tasks and robustness challenges from domain spec…
Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs
Xianzhe Meng, Qiangsheng Zeng, Ling Luo +7
Training stability is typically regarded as a prerequisite for reliable optimization in large language models. In this work, we analyze how stabilizing training dynamics affects th…
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Yiping Wang, Qing Yang, Zhiyuan Zeng +11
We show that reinforcement learning with verifiable reward using one training example (1-shot RLVR) is effective in incentivizing the math reasoning capabilities of large language…