collaborators

9 papers

cs.AI2026

AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification

Yan Wang, Xuguang Ai, Jaisal Patel +7

Structured financial audit verification is difficult for language-model agents because correctness depends on structured evidence rather than text alone. A model must link reported…

cs.AI2026

Herculean: An Agentic Benchmark for Financial Intelligence

Xueqing Peng, Zhuohan Xie, Yupeng Cao +60

As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…

cs.CL2026

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation

Rui Qi, Fengran Mo, Sijin Lu +3

A multilingual collection may contain useful knowledge in other languages to supplement and correct the facts in the original language for Retrieval-Augmented Generation (RAG). How…

cs.AI2026

StaRPO: Stability-Augmented Reinforcement Policy Optimization

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya +5

Reinforcement learning (RL) is effective in enhancing the accuracy of large language models in complex reasoning tasks. Existing RL policy optimization frameworks rely on final-ans…

cs.IR2026

Towards Dynamic Dense Retrieval with Routing Strategy

Zhan Su, Fengran Mo, Jinghan Zhang +4

The \textit{de facto} paradigm for applying dense retrieval (DR) to new tasks involves fine-tuning a pre-trained model for a specific task. However, this paradigm has two significa…

cs.LG2026

LEKA:LLM-Enhanced Knowledge Augmentation

Xinhao Zhang, Jinghan Zhang, Fengran Mo +3

Humans excel in analogical learning and knowledge transfer and, more importantly, possess a unique understanding of identifying appropriate sources of knowledge. From a model's per…