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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

Diverse cloud-scale foundation/multimodal models and locally deployable models suitable for inference on consumer-grade GPUs are evaluated, achieving the highest accuracy of up to 90% on MCQs, similarity score of 0.72 on literature synthesis, and accuracy of 80% on a small sample of multimodal reasoning questions, with...

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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