activity
20222026
most citedKiUT: Knowledge-injected U-Transformer for Radiology Report Generation

4 citations · 11 across the 24 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

Human-AI Co-reasoning for Clinical Diagnosis with Evidence-Integrated Language Agent

Zhongzhen Huang, Yan Ling, Hong Chen +7

We present PULSE, a medical reasoning agent that combines a domain-tuned large language model with scientific literature retrieval to support diagnostic decision-making in complex…

cs.CL2026

CURE: A Multimodal Benchmark for Clinical Understanding and Retrieval Evaluation

Yannian Gu, Zhongzhen Huang, Linjie Mu +3

Multimodal large language models (MLLMs) demonstrate considerable potential in clinical diagnostics, a domain that inherently requires synthesizing complex visual and textual data…

cs.CL2025

Elicit and Enhance: Advancing Multimodal Reasoning in Medical Scenarios

Zhongzhen Huang, Linjie Mu, Yakun Zhu +3

Effective clinical decision-making depends on iterative, multimodal reasoning across diverse sources of evidence. The recent emergence of multimodal reasoning models has significan…

cs.CL2025

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models

Yakun Zhu, Zhongzhen Huang, Linjie Mu +6

The emergence of groundbreaking large language models capable of performing complex reasoning tasks holds significant promise for addressing various scientific challenges, includin…

cs.CL2025

O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning

Zhongzhen Huang, Gui Geng, Shengyi Hua +5

Building upon our previous investigations of O1 replication (Part 1: Journey Learning [Qin et al., 2024] and Part 2: Distillation [Huang et al., 2024]), this work explores the pote…

cs.CL2024★ 2 cited

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models

Zhongzhen Huang, Kui Xue, Yongqi Fan +5

Large-scale language models (LLMs) have achieved remarkable success across various language tasks but suffer from hallucinations and temporal misalignment. To mitigate these shortc…

cs.CL2022★ 2 cited

Attract me to Buy: Advertisement Copywriting Generation with Multimodal Multi-structured Information

Zhipeng Zhang, Xinglin Hou, Kai Niu +5

Recently, online shopping has gradually become a common way of shopping for people all over the world. Wonderful merchandise advertisements often attract more people to buy. These…