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X. Li

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Aug 2026

A cross-modal fusion detection framework for robust object perception under challenging illumination

RGB-infrared (RGB-IR) fusion improves object detection by enabling robust object localization under challenging illumination and environmental conditions. However, the additional IR modality often increases computational cost, limiting its deployment in real-time measurement and perception systems. This work revisits c...

Hongru Xiao, Bo Li, Bin Yang et al. · 0 citations
#artificial intelligence Review Sep 2026

BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science. However, existing LLM benchmarking emphasizes factual recall, offering limited insight into model performance on frontier and multimodal tasks. We assembled BioEVAL (BioEngineering Vali...

Shun Ye, V. C. Suja, Chen-Long Li et al. · 0 citations
Jul 2026

FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents

This work designs Finance-LaTeX SKILL, a skill for synthesizing financial documents with complex layouts based on expert knowledge, and introduces FinanceComplexQA, a comprehensive open-ended generation benchmark for financial documents that closely resembles real-world scenarios.

Xianfu Cheng, Shiwei Zhang, Jiyu Zhao et al. · 2 citations
#natural language process... Preprint Feb 2026

An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models

ClinMPO improved performance across two complementary schemes covering ICD-11 diagnostic categories and psychiatric practice competencies and Blinded assessment by three clinicians showed improved rationale quality across CPTS criteria.

Xinxin Lin, Guangxin Dai, Y. Zhong et al. · 1 citation

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