collaborators

17 papers

cs.CE2026

FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents

Xianfu Cheng, Shiwei Zhang, Jiyu Zhao +10

Agentic Reasoning has become a transformative force in financial analysis due to its ability to integrate large-scale information and generate reliable and accurate content. Howeve…

cs.CL2026

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions

César Guerra-Solano, Xiang Lorraine Li

Persona-driven generations (PDGs) have seen prolific use in research and industry applications, where a large language model (LLM) takes on a 'persona' while completing some task.…

cs.IR2026

SAGE: Scalable AI Governance & Evaluation

Benjamin Le, Xueying Lu, Nick Stern +17

Evaluating relevance in large-scale search systems is fundamentally constrained by the governance gap between nuanced, resource-constrained human oversight and the high-throughput…

cs.CL2026

Embodied Task Planning via Graph-Informed Action Generation with Large Language Models

Xiang Li, Ning Yan, Masood Mortazavi

While Large Language Models (LLMs) have demonstrated strong zero-shot reasoning capabilities, their deployment as embodied agents still faces fundamental challenges in long-horizon…

cs.CR2026

GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models

Zuyao Xu, Yuqi Qiu, Lu Sun +14

Citations provide the basis for trusting scientific claims; when they are invalid or fabricated, this trust collapses. With the advent of Large Language Models (LLMs), this risk ha…

cs.CL2026

Evaluating an evidence-guided reinforcement learning framework in aligning light-parameter large language models with decision-making cognition in psychiatric clinical reasoning

Xinxin Lin, Guangxin Dai, Yi Zhong +20

Large language models (LLMs) hold transformative potential for medical decision support yet their application in psychiatry remains constrained by hallucinations and superficial re…