Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Hua, Gu, Jiapei, Gu, Michelle Mingyue
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Computer Environments Elicit General Agentic Intelligence in LLMs
by: Cheng, Daixuan, et al.
Published: (2026)

The Emotional Valence Paradox in Social media: A Computational Linguistic Analysis of How Sentiment, Emotion, and Content Domain Predict Social Comparisons on Rednote
by: Michelle Mingyue Gu, et al.
Published: (2026)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2024)

Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs
by: Fu, Yuchen, et al.
Published: (2024)

Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
by: Gu, Qingqing, et al.
Published: (2025)

InductionBench: LLMs Fail in the Simplest Complexity Class
by: Hua, Wenyue, et al.
Published: (2025)

When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
by: Dawkins, Hillary, et al.
Published: (2025)

A Review of Incorporating Psychological Theories in LLMs
by: Liu, Zizhou, et al.
Published: (2025)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
by: Xiong, Miao, et al.
Published: (2023)

Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
by: Hua, Andong, et al.
Published: (2025)

TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2024)

Why Chain of Thought Fails in Clinical Text Understanding
by: Wu, Jiageng, et al.
Published: (2025)

Are LLMs good pragmatic speakers?
by: Jian, Mingyue, et al.
Published: (2024)

SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)

Success and Cost Elicit Convention Formation for Efficient Communication
by: Vaduguru, Saujas, et al.
Published: (2025)

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
by: Li, Xiaomin, et al.
Published: (2025)

Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context
by: Mi, Maggie, et al.
Published: (2024)

How LLMs Fail to Support Fact-Checking
by: Proma, Adiba Mahbub, et al.
Published: (2025)

Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
by: Gu, Jiawei, et al.
Published: (2025)

Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
by: Gu, Tianle, et al.
Published: (2025)

Cognition Chain for Explainable Psychological Stress Detection on Social Media
by: Wang, Xin, et al.
Published: (2024)

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
by: Suvarna, Ashima, et al.
Published: (2026)

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
by: Puerto, Haritz, et al.
Published: (2024)

False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize
by: Wang, Cheng, et al.
Published: (2025)

Logic-Regularized Verifier Elicits Reasoning from LLMs
by: Wang, Xinyu, et al.
Published: (2026)

From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media
by: Ma, Tian, et al.
Published: (2025)

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration
by: Lu, Hao, et al.
Published: (2025)

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
by: Li, Xingxuan, et al.
Published: (2024)

Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
by: Dai, Chongyuan, et al.
Published: (2026)

Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
by: Wang, Zijian, et al.
Published: (2025)

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
by: Chen, Chao, et al.
Published: (2024)

Corrective Retrieval Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2024)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)

Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation
by: Wang, Yu, et al.
Published: (2024)

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
by: Wan, Herun, et al.
Published: (2024)

Length Controlled Generation for Black-box LLMs
by: Gu, Yuxuan, et al.
Published: (2024)

Cognition-of-Thought Elicits Social-Aligned Reasoning in Large Language Models
by: Zhang, Xuanming, et al.
Published: (2025)

The Illusion of Certainty: Uncertainty Quantification for LLMs Fails under Ambiguity
by: Tomov, Tim, et al.
Published: (2025)

Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
by: Wu, Wenshan, et al.
Published: (2024)