Cover Image

Improving Language Model Personas via Rationalization with Psychological Scaffolds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Joshi, Brihi, Ren, Xiang, Swayamdipta, Swabha, Koncel-Kedziorski, Rik, Paek, Tim
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PrimeX: A Dataset of Worldview, Opinion, and Explanation
by: Koncel-Kedziorski, Rik, et al.
Published: (2025)

Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
by: He, Keyu, et al.
Published: (2025)

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations
by: Joshi, Brihi, et al.
Published: (2025)

Annotating FrameNet via Structure-Conditioned Language Generation
by: Cui, Xinyue, et al.
Published: (2024)

Better Language Model Inversion by Compactly Representing Next-Token Distributions
by: Nazir, Murtaza, et al.
Published: (2025)

Logits of API-Protected LLMs Leak Proprietary Information
by: Finlayson, Matthew, et al.
Published: (2024)

How Reliable is Language Model Micro-Benchmarking?
by: Yauney, Gregory, et al.
Published: (2025)

BizBench: A Quantitative Reasoning Benchmark for Business and Finance
by: Koncel-Kedziorski, Rik, et al.
Published: (2023)

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
by: Ranjit, Jaspreet, et al.
Published: (2024)

Disentangling Geometry, Performance, and Training in Language Models
by: Kulkarni, Atharva, et al.
Published: (2026)

Compare without Despair: Reliable Preference Evaluation with Generation Separability
by: Ghosh, Sayan, et al.
Published: (2024)

DocFinQA: A Long-Context Financial Reasoning Dataset
by: Reddy, Varshini, et al.
Published: (2024)

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
by: Ethayarajh, Kawin, et al.
Published: (2021)

CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization
by: Joshi, Brihi, et al.
Published: (2025)

Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
by: Liu, Joseph, et al.
Published: (2025)

Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
by: Khurana, Urja, et al.
Published: (2024)

Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)

Tailoring Self-Rationalizers with Multi-Reward Distillation
by: Ramnath, Sahana, et al.
Published: (2023)

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
by: Ramnath, Sahana, et al.
Published: (2025)

Every Language Model Has a Forgery-Resistant Signature
by: Finlayson, Matthew, et al.
Published: (2025)

Teaching Models to Understand (but not Generate) High-risk Data
by: Wang, Ryan, et al.
Published: (2025)

BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
by: Diddee, Harshita, et al.
Published: (2026)

Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
by: Ghosh, Sayan, et al.
Published: (2025)

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
by: Howard, Phillip, et al.
Published: (2023)

Side-by-side Comparison Amplifies Dialect Bias in Language Models
by: Kondapally, Kritee, et al.
Published: (2026)

Generative Explanations for Program Synthesizers
by: Nazari, Amirmohammad, et al.
Published: (2024)

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
by: Wang, Siyuan, et al.
Published: (2024)

ChEmREF: Evaluating Language Model Readiness for Chemical Emergency Response
by: Surana, Risha, et al.
Published: (2025)

Personas as a Way to Model Truthfulness in Language Models
by: Joshi, Nitish, et al.
Published: (2023)

Why Fine-Tuning Encourages Hallucinations and How to Fix It
by: Kaplan, Guy, et al.
Published: (2026)

Beyond Fixed Psychological Personas: State Beats Trait, but Language Models are State-Blind
by: Harry, Tamunotonye, et al.
Published: (2026)

Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
by: Ranjit, Jaspreet, et al.
Published: (2026)

Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI
by: Joshi, Nikhita, et al.
Published: (2025)

Persona Jailbreaking in Large Language Models
by: Sandhan, Jivnesh, et al.
Published: (2026)

Virtual Personas for Language Models via an Anthology of Backstories
by: Moon, Suhong, et al.
Published: (2024)

Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection
by: Kulkarni, Atharva, et al.
Published: (2025)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
by: Greco, Candida M., et al.
Published: (2026)

Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling
by: Xu, Qingyang, et al.
Published: (2026)

Language Model Probabilities are Not Calibrated in Numeric Contexts
by: Lovering, Charles, et al.
Published: (2024)

The Persona Paradox: Medical Personas as Behavioral Priors in Clinical Language Models
by: Abdullahi, Tassallah, et al.
Published: (2026)