AI ethics evidence index Search
Source-linked daily record
Evidence record 5595 · automatically gathered

ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification

Zero-shot vision-language models (VLMs) have shown promise for chest radiograph classification, but their performance is often limited by confounding label co-occurrence, long-tail class imbalance, and transfer instability under domain shift. We propose ProtoCLIP, a refinement strategy for CLIP-style VLMs that improves zero-shot discrimination through targeted data curation and distilled anchor alignment. Specifically, we construct pathology-focused training subsets with curated negative samples

Record details

Published: 20 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Safety & alignment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment

arXiv · 21 April 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation

arXiv · 23 April 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Quantifying and Mitigating Self-Preference Bias of LLM Judges

arXiv · 24 April 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models

arXiv · 25 April 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

A Multi-Domain Red Teaming Framework for Safety, Robustness, and Fairness Evaluation of Medical Large Language Models

arXiv · 15 April 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Applications of the Transformer Architecture in AI-Assisted English Reading Comprehension

arXiv · 26 April 2026

How to cite this record

ethics.ai (20 April 2026), “ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification,” evidence record 5595, https://ethics.ai/record/5595 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.