Cover Image

Grounding Text Embeddings in Stakeholder Associations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rystrøm, Jonathan, Burgos-Thorsen, Sofie, Fu, Zihao, Søltoft, Johan Irving, Enevoldsen, Kenneth C., Russell, Chris
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exposing Assumptions in AI Benchmarks through Cognitive Modelling
by: Rystrøm, Jonathan H., et al.
Published: (2024)

Multilingual != Multicultural: Evaluating Gaps Between Multilingual Capabilities and Cultural Alignment in LLMs
by: Rystrøm, Jonathan, et al.
Published: (2025)

Agent Benchmarks Fail Public Sector Requirements
by: Rystrøm, Jonathan, et al.
Published: (2026)

Oversight Structures for Agentic AI in Public-Sector Organizations
by: Schmitz, Chris, et al.
Published: (2025)

OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
by: Enevoldsen, Kenneth, et al.
Published: (2024)

ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
by: Wolfe, Robert, et al.
Published: (2024)

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration
by: Ding, Kexin, et al.
Published: (2025)

Synthetic Interlocutors. Experiments with Generative AI to Prolong Ethnographic Encounters
by: Søltoft, Johan Irving, et al.
Published: (2024)

The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)

DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models
by: Fu, Jiachen, et al.
Published: (2025)

LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)

An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models
by: Payne, Kenneth
Published: (2025)

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks
by: Chung, Isaac, et al.
Published: (2025)

The Third Ambition: Artificial Intelligence and the Science of Human Behavior
by: Neuman, W. Russell, et al.
Published: (2026)

Prompt-Counterfactual Explanations for Generative AI System Behavior
by: Goethals, Sofie, et al.
Published: (2026)

The Need for a Socially-Grounded Persona Framework for User Simulation
by: Venkit, Pranav Narayanan, et al.
Published: (2026)

Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
by: Radzikowski, Jakub, et al.
Published: (2026)

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
by: Munir, Sheza, et al.
Published: (2026)

InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation
by: Li, Yu, et al.
Published: (2026)

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
by: Jiang, Yuyang, et al.
Published: (2025)

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
by: La Cava, Lucio, et al.
Published: (2026)

Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis
by: Ricco, Emanuele, et al.
Published: (2025)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)

SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
by: Wang, Lichao, et al.
Published: (2026)

Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
by: Kersting, Nicholas S., et al.
Published: (2026)

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data
by: McClure, Jeanne, et al.
Published: (2024)

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text
by: Bao, Guangsheng, et al.
Published: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Social Intervention
by: Alam, S M Ruhul, et al.
Published: (2026)

Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
by: Abraham, Louis, et al.
Published: (2024)

H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
by: Gao, Cheng, et al.
Published: (2025)

VILLAIN at AVerImaTeC: Verifying Image-Text Claims via Multi-Agent Collaboration
by: Jung, Jaeyoon, et al.
Published: (2026)

Augmenting Rating-Scale Measures with Text-Derived Items Using the Information-Determined Scoring (IDS) Framework
by: Watson, Joe, et al.
Published: (2025)

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
by: Najjar, Ayat A., et al.
Published: (2025)

Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
by: Chen, Yuqi, et al.
Published: (2024)

Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation
by: Rasool, Abdur, et al.
Published: (2024)