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20142026
most citedA Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records

19 citations · 40 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines

Yirui Zhang, Yash Raj Shrestha

Qwen3-8B reviewing Llama-3.1-8B in math adds 33.2 points, yet Qwen3-8B alone is 6.4 points more accurate than the result. Reviewing another model's answer is usually judged by its…

cs.CL2026

Beyond Surface Cues: Disentangling Sociocultural Signals in Multilingual LLMs

Yuanjun Feng, Tanzhou Liu, Stefan Feuerriegel +1

Multilingual LLM outputs can vary across sociocultural contexts. However, evidence of cultural grounding can be misleading: identity labels may be inferred from explicit or indirec…

cs.CV2026

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis

Niyoj Oli, Sachin Acharya, Sandesh Pokhrel +7

Gastrointestinal cancers represent a growing health burden in the South Asian region, driven largely by rapid changes in socio-economic conditions and lifestyle habits. However, ea…

cs.CV2026

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

Aavash Chhetri, Bibek Niroula, Eduard Vazquez +4

In this paper, we address the problem of multimodal federated learning with missing modality. Existing methods utilize an additional public dataset or perform naive feature synthes…

cs.CV2026

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare

Aavash Chhetri, Bibek Niroula, Pratik Shrestha +5

Federated learning (FL) enables collaborative model training across decentralized medical institutions while preserving data privacy. However, medical FL benchmarks remain scarce,…