AI ethics evidence index Search
Source-linked daily record
Evidence record 3908 · automatically gathered

Graph Alignment Topology as an Inductive Bias for Grounding Detection

Large Language Models (LLMs) are optimized to produce distributionally plausible continuations rather than to explicitly verify whether generated propositions are entailed by source documents. This inductive bias enables generalization, but it does not encode whether responses are grounded with respect to a reference. These issues limit the use of LLMs in domains where strict factual correctness is crucial, such as clinical decision support. Existing hallucination detection approaches improve fa

Record details

Published: 21 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Safety & alignment · Healthcare
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

Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine

arXiv · 7 May 2026

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

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance

arXiv · 28 April 2026

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

MMed-Bench-IR: A Heterogeneous Benchmark for Multilingual Medical Information Retrieval

arXiv · 23 June 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

X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

arXiv · 7 July 2026

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

Shape-Based Inductive Bias for Glioma Grading from Tumor Contours

arXiv cs.LG · 27 July 2026

How to cite this record

ethics.ai (21 May 2026), “Graph Alignment Topology as an Inductive Bias for Grounding Detection,” evidence record 3908, https://ethics.ai/record/3908 (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.