Saved in:
| Main Authors: | Okada, Kensuke, Furukawa, Yui, Bunji, Kyosuke |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.17262 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025)
by: Chapala, Sashank, et al.
Published: (2025)
Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
by: Chen, Jinsong
Published: (2025)
by: Chen, Jinsong
Published: (2025)
Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)
by: Hijikata, Keiichiro, et al.
Published: (2024)
LLM Bias Detection and Mitigation through the Lens of Desired Distributions
by: Shrestha, Ingroj, et al.
Published: (2025)
by: Shrestha, Ingroj, et al.
Published: (2025)
On Cluster Randomized Trials with the Desirability of Outcome Ranking (DOOR) Endpoints
by: Shao, Wanying, et al.
Published: (2026)
by: Shao, Wanying, et al.
Published: (2026)
Doubly Robust Estimation of Desirability of Outcome Ranking (DOOR) Probability with Application to MDRO Studies
by: Shu, Shiyu, et al.
Published: (2026)
by: Shu, Shiyu, et al.
Published: (2026)
Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
by: Okada, Kensuke
Published: (2026)
by: Okada, Kensuke
Published: (2026)
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
by: Wang, Angelina, et al.
Published: (2025)
by: Wang, Angelina, et al.
Published: (2025)
Distributed Asymmetric Allocation: A Topic Model for Large Imbalanced Corpora in Social Sciences
by: Watanabe, Kohei
Published: (2025)
by: Watanabe, Kohei
Published: (2025)
Desirability of outcome ranking (DOOR) analysis for multivariate survival outcomes with application to ACTT-1 trial
by: Shu, Shiyu, et al.
Published: (2025)
by: Shu, Shiyu, et al.
Published: (2025)
Measuring What Cannot Be Surveyed: LLMs as Instruments for Latent Cognitive Variables in Labor Economics
by: Maya, Cristian Espinal
Published: (2026)
by: Maya, Cristian Espinal
Published: (2026)
LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information
by: van Buuren, Stef
Published: (2026)
by: van Buuren, Stef
Published: (2026)
An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek
by: Zafar, Schyan, et al.
Published: (2023)
by: Zafar, Schyan, et al.
Published: (2023)
Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)
by: Trilla, Alexandre, et al.
Published: (2024)
Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)
by: Salecha, Aadesh, et al.
Published: (2024)
Efficient Exploration for LLMs
by: Dwaracherla, Vikranth, et al.
Published: (2024)
by: Dwaracherla, Vikranth, et al.
Published: (2024)
Quantifying Data Contamination in Psychometric Evaluations of LLMs
by: Han, Jongwook, et al.
Published: (2025)
by: Han, Jongwook, et al.
Published: (2025)
Wavelet-based Positional Representation for Long Context
by: Oka, Yui, et al.
Published: (2025)
by: Oka, Yui, et al.
Published: (2025)
Using LLMs to Establish Implicit User Sentiment of Software Desirability
by: Weitl-Harms, Sherri, et al.
Published: (2024)
by: Weitl-Harms, Sherri, et al.
Published: (2024)
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
by: Egami, Naoki, et al.
Published: (2023)
by: Egami, Naoki, et al.
Published: (2023)
A Finite-Calibration Regime Map for LLM Judge Panels
by: Zhu, Bin, et al.
Published: (2026)
by: Zhu, Bin, et al.
Published: (2026)
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
by: Timmer, Roelien C, et al.
Published: (2025)
by: Timmer, Roelien C, et al.
Published: (2025)
A New Semisupervised Technique for Polarity Analysis using Masked Language Models
by: Watanabe, Kohei
Published: (2026)
by: Watanabe, Kohei
Published: (2026)
A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies
by: Wang, Shirley V, et al.
Published: (2025)
by: Wang, Shirley V, et al.
Published: (2025)
The Illusion of Intervention: Your LLM-Simulated Experiment is an Observational Study
by: Lin, Victoria, et al.
Published: (2026)
by: Lin, Victoria, et al.
Published: (2026)
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
by: Su, Tongkun, et al.
Published: (2024)
by: Su, Tongkun, et al.
Published: (2024)
Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
by: Li, Yanran
Published: (2026)
by: Li, Yanran
Published: (2026)
Syntax-Guided Diffusion Language Models with User-Integrated Personalization
by: Zhang, Ruqian, et al.
Published: (2025)
by: Zhang, Ruqian, et al.
Published: (2025)
Differential contributions of machine learning and statistical analysis to language and cognitive sciences
by: Sun, Kun, et al.
Published: (2024)
by: Sun, Kun, et al.
Published: (2024)
Exploring Intra and Inter-language Consistency in Embeddings with ICA
by: Li, Rongzhi, et al.
Published: (2024)
by: Li, Rongzhi, et al.
Published: (2024)
How Model Size, Temperature, and Prompt Style Affect LLM-Human Assessment Score Alignment
by: Jung, Julie, et al.
Published: (2025)
by: Jung, Julie, et al.
Published: (2025)
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
by: Eckman, Stephanie, et al.
Published: (2025)
by: Eckman, Stephanie, et al.
Published: (2025)
Geological Inference from Textual Data using Word Embeddings
by: Linphrachaya, Nanmanas, et al.
Published: (2025)
by: Linphrachaya, Nanmanas, et al.
Published: (2025)
Isolated Causal Effects of Natural Language
by: Lin, Victoria, et al.
Published: (2024)
by: Lin, Victoria, et al.
Published: (2024)
Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis
by: Ledberg, Anders, et al.
Published: (2025)
by: Ledberg, Anders, et al.
Published: (2025)
Automated scoring of the Ambiguous Intentions Hostility Questionnaire using fine-tuned large language models
by: Lyu, Y., et al.
Published: (2025)
by: Lyu, Y., et al.
Published: (2025)
Maximizing Signal in Human-Model Preference Alignment
by: Kraus, Kelsey, et al.
Published: (2025)
by: Kraus, Kelsey, et al.
Published: (2025)
Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
by: Wu, Sirui, et al.
Published: (2025)
by: Wu, Sirui, et al.
Published: (2025)
Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
by: Qorib, Muhammad Reza, et al.
Published: (2024)
by: Qorib, Muhammad Reza, et al.
Published: (2024)
Similar Items
-
Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025) -
Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
by: Chen, Jinsong
Published: (2025) -
Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024) -
LLM Bias Detection and Mitigation through the Lens of Desired Distributions
by: Shrestha, Ingroj, et al.
Published: (2025) -
On Cluster Randomized Trials with the Desirability of Outcome Ranking (DOOR) Endpoints
by: Shao, Wanying, et al.
Published: (2026)