mlsanityData to 14 Oct 2026

Prompting-in-a-Series: Psychology-Informed Contents and Embeddings for Personality Recognition With Decoder-Only Models

arXiv 2512.06991 ↗First posted 7 Dec 2025cs.CL cs.AIcited by 2

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Abstract (arXiv)

Large Language Models (LLMs) have demonstrated remarkable capabilities across various natural language processing tasks. This research introduces a novel "Prompting-in-a-Series" algorithm, termed PICEPR (Psychology-Informed Contents Embeddings for Personality Recognition), featuring two pipelines: (a) Contents and (b) Embeddings. The approach demonstrates how a modularised decoder-only LLM can summarize or generate content, which can aid in classifying or enhancing personality recognition functions as a personality feature extractor and a generator for personality-rich content. We conducted various experiments to provide evidence to justify the rationale behind the PICEPR algorithm. Meanwhile, we also explored closed-source models such as textitgpt4o from OpenAI and textitgemini from Google, along with open-source models like textitmistral from Mistral AI, to compare the quality of the generated content. The PICEPR algorithm has achieved a new state-of-the-art performance for personality recognition by 5-15% improvement. The work repository and models' weight can be found at https://research.jingjietan.com/?q=PICEPR.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 33 of its 70 references that are in the map. First posted on arXiv 7 Dec 2025.

Builds on

33 of 70 references.

References · 33

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
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  7. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,211
  8. 2020MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformerscited by 1,463
  9. 2016Semantics derived automatically from language corpora contain human-like biasescited by 901
  10. 2022Automatic Chain of Thought Prompting in Large Language Modelscited by 688
  11. 2024Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveycited by 656
  12. 2024A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applicationscited by 431
21 more
  1. 2021Scaling Laws for Transfercited by 272
  2. 2023Efficient Guided Generation for Large Language Modelscited by 200
  3. 2024ReFT: Representation Finetuning for Language Modelscited by 197
  4. 2024Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understandingcited by 188
  5. 2021BERT: A Review of Applications in Natural Language Processing and Understandingcited by 109
  6. 2024Revolutionizing Finance with LLMs: An Overview of Applications and Insightscited by 90
  7. 2024A Survey on Multilingual Large Language Models: Corpora, Alignment, and Biascited by 84
  8. 2024Gecko: Versatile Text Embeddings Distilled from Large Language Modelscited by 83
  9. 2024A Complete Survey on LLM-based AI Chatbotscited by 71
  10. 2023Can ChatGPT Assess Human Personalities? A General Evaluation Frameworkcited by 70
  11. 2023Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logiccited by 35
  12. 2023Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimationcited by 29
  13. 2023Is ChatGPT a Good Personality Recognizer? A Preliminary Studycited by 26
  14. 2024XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Modelscited by 23
  15. 2024LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Modelcited by 21
  16. 2022Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detectioncited by 14
  17. 2021Psycholinguistic Tripartite Graph Network for Personality Detectioncited by 12
  18. 2024Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Modelscited by 11
  19. 2024Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?cited by 8
  20. 2024Large Language Models Can Infer Personality from Free-Form User Interactionscited by 8
  21. 2024EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detectioncited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysiscited by 0
  2. 2026Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognitioncited by 0