AI ethics evidence index Search
Source-linked daily record
Evidence record 4266 · automatically gathered

XSearch: Explainable Code Search via Concept-to-Code Alignment

Semantic code search has been widely adopted in both academia and industry. These approaches embed natural-language queries and code snippets into a shared embedding space and retrieve results based on vector similarity. Despit strong performance on benchmark datasets, they often suffer from poor explainability and generalization. Retrieved code may appear semantically similar yet miss critical functional requirements of the query, while providing no explanation of why the result was retrieved.

Record details

Published: 15 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Transparency
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: Safety & alignment · Shared topic: Transparency

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication

arXiv · 15 May 2026

Shared topic: Safety & alignment · Shared topic: Transparency

Beyond Anthropomorphism: Exploring the Roles of Perceived Non-humanity and Structural Similarity in Deep Self-Disclosure Toward Generative AI

arXiv · 13 May 2026

Shared topic: Safety & alignment · Shared topic: Transparency

Tracing Persona Vectors Through LLM Pretraining

arXiv · 13 May 2026

Shared topic: Safety & alignment · Shared topic: Transparency

REBAR: Reference Ethical Benchmark for Autonomy Readiness

arXiv · 18 May 2026

Shared topic: Safety & alignment · Shared topic: Transparency

Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science

arXiv · 12 May 2026

Shared topic: Safety & alignment · Shared topic: Transparency

Exploring and Developing a Pre-Model Safeguard with Draft Models

arXiv · 19 May 2026

How to cite this record

ethics.ai (15 May 2026), “XSearch: Explainable Code Search via Concept-to-Code Alignment,” evidence record 4266, https://ethics.ai/record/4266 (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.